CWA 18398 · Annex B

37 AI role profiles

The standard's role family structure, in full. A role states which competences it requires and at which level; it states no order and no dependency between roles.

1 Data Processing & Analysis (6)

1.1 Data Scientist

Leads the process of applying data analytics. Delivers insights from data by optimising the analytics process and presenting visual data representations.

Finds, manages and merges multiple data sources and ensures consistency of datasets. Identifies the mathematical models, selects and optimises the algorithms to deliver business value through insights. Communicates patterns and recommends ways of applying data.

Competences and required levels: A.7 e-4
A.9 e-4
B.3 e-4
D.7 e-4
D.10 e-4
D.11 e-4
E.1 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Machine Learning, Deep Learning, Synthetic Data Generation, AI Adoption & Enablement, Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), Data Analytics, Data Engineering, AI Ethics, Data Quality & Governance, AI Compliance & Regulatory Readiness, AI Business Application & Impact, AI Value Measurement & ROI, Human-Model Interaction Design
Also advertised as: Data Scientist AI · AI Data Scientist · Decision Scientist · Data Science Manager

1.2 Data Curation Lead

Oversees the quality, structure, governance, and lifecycle of data assets to ensure they are reliable, reusable, and fit for analytical and AI use.

Ensures data is accurate, well-documented, ethically managed, and consistently curated so it can be trusted and effectively used across analytics, AI, and business functions.

Competences and required levels: A.4 e-3
D.2 e-4
D.7 e-4
E.3 e-3
E.5 e-3
E.6 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Operator
Skill areas: AI Product Management, AI Adoption & Enablement, Human-Model Interaction Design, MLOps & AI Lifecycle Management, AI Compliance & Regulatory Readiness, AI Policy & Regulation, AI Risk, Assurance & Audit, Data Analytics, Machine Learning, Deep Learning, Data Engineering, AI Ethics, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Operating Model Design for AI, AI Performance Monitoring, AI Automation, Data Quality & Governance, Model Evaluation & Validation, Testing AI-based systems
Also advertised as: Data Curator · Data Stewardship Lead · Head of Data Curation · Principal Data Curator · Senior Data Steward · Data Governance Lead · Data Quality Lead · Data Operations Lead · Data Lifecycle Lead · Data Asset Management Lead · Data Integrity Lead · Trusted Data Lead · Data Trust Lead

1.3 Data Analyst

Analyses data in order to identify key insights for the organisation and ways the data can be used to solve problems. Imports, inspects, cleans, transforms, validates, models or interprets collections of data with regard to the business goals of the company. Ensures that the data.

sources and repositories provide consistent and reliable data. Prepares visualisations.

Competences and required levels: A.10 e-3
B.5 e-2
D.7 e-3
D.10 e-3
D.11 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Operator
Skill areas: Human-Model Interaction Design, Explainability & Interpretability (XAI), Regulatory Reporting & Documentation, Data Analytics, Machine Learning, Deep Learning, Data Engineering, AI Ethics, Data Quality & Governance, AI Compliance & Regulatory Readiness, AI Business Application & Impact, AI Value Measurement & ROI
Also advertised as: Data Analyst AI · AI Data Analyst · AI Analyst · Big Data Analyst · Data Quality Analyst

1.4 Data Engineer

Develops the architecture needed to process, manage, and store large amounts of data.

Designs the infrastructure and builds and maintains warehouses and data pipelines that collect, manage, and convert raw data into usable information for data scientists and analysts to leverage data for strategic advantage.

Competences and required levels: A.5 e-3
B.2 e-3
B.6 e-3
D.7 e-2
E.3 e-2
E.8 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Provider, Operator
Skill areas: AI System Architecture & Enterprise Integration, AI Solution Architecture, AI Infrastructure, AI Security, Data Engineering, AI Tooling & Ecosystem, AI Platforms & Frameworks, Data Analytics, Machine Learning, Deep Learning, AI Ethics, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, AI Incident Management & Response
Also advertised as: Data Engineer AI · AI Data Engineer · Big Data Engineer · Big Data Specialist · ETL Developer · ETL Engineer · Data Pipeline Engineer · Data Integration Engineer · Cloud Data Engineer · Streaming Data Engineer · Real-Time Data Engineer

1.5 AI Data Trainer

Ensures that training datasets are fit for purpose without bias.

Prepares the training dataset for the AI program, annotates the data models, configures conversational conditions and responses, performs tests and evaluates AI performance regularly. Ensures adherence to ethical considerations and standards for AI, assessing the AI outputs for misinformation, biases and stereotypes.

Competences and required levels: B.3 e-2
B.5 e-2
D.7 e-2
D.11 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Operator
Skill areas: Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), Regulatory Reporting & Documentation, Data Analytics, Machine Learning, Deep Learning, Data Engineering, AI Ethics, AI Business Application & Impact, AI Value Measurement & ROI, Human-Model Interaction Design
Also advertised as: Training Data Specialist · AI Trainer · AI Model Trainer · Machine Learning Data Trainer · Conversational AI Trainer · Generative AI Trainer · Data Annotation Specialist · Data Annotator · Data Labelling Specialist · Training Data Annotator · Data Tagging Specialist

1.6 AI Business Analyst

Ensures that AI initiatives are effectively aligned with the organisation’s objectives by bridging the gap between business requirements and AI solutions.

Integrates the technical aspects of AI with the strategic needs of a business. Works closely with data scientists, machine learning engineers, and business management to ensure AI projects are aligned with the business goals. Analyses the AI solutions needed to support business plans, focusing on data-driven decision-making, the integration of AI systems, and ensuring the AI model is aligned with business objectives. Advises on the lifecycle of the AI solutions.

Competences and required levels: A.1 e-4
A.3 e-3
A.7 e-4
D.7 e-4
D.10 e-4
D.11 e-4
E.4 e-3
E.5 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Deployer, Operator
Skill areas: AI Strategy, Operating Model Design for AI, AI Business Application & Impact, AI Governance, AI Ethics, AI Economics & Cost Management, AI Value Measurement & ROI, Third-Party & Supply Chain AI Risk, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Data Analytics, Machine Learning, Deep Learning, Data Engineering, Data Quality & Governance, AI Compliance & Regulatory Readiness, Human-Model Interaction Design, AI Adoption & Enablement, Vendor & Partner Management for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Automation
Also advertised as: Business Analyst AI · AI Business Systems Analyst · AI Business Intelligence Analyst · AI Technical Business Analyst · AI Translator · Analytics Translator · Business-AI Translator · Data & Analytics Translator · Decision Engineer · AI Strategy Analyst · AI Solutions Analyst · AI Transformation Analyst · AI Functional Analyst · AI Systems Analyst · AI Value Analyst

2 Development & Operations (12)

2.1 AI Architect

Plans, designs and integrates the AI architecture.

Designs, integrates and implements AI solutions ensuring procedures and models for development are current and comply with common standards. Monitors new AI technology developments and applies if appropriate. Provides technological design leadership and guides the development of AI solutions.

Competences and required levels: A.1 e-4
A.5 e-4
A.7 e-4
A.8 e-3
B.2 e-4
B.6 e-4
E.3 e-3
E.8 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Operator
Skill areas: AI Strategy, Operating Model Design for AI, AI Business Application & Impact, AI Governance, AI Ethics, AI Economics & Cost Management, AI System Architecture & Enterprise Integration, AI Solution Architecture, AI Infrastructure, AI Security, Data Engineering, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Safe, Responsible & Sustainable AI, Model Optimisation & Efficiency, AI Compliance & Regulatory Readiness, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, AI Incident Management & Response
Also advertised as: AI Solutions Architect · Enterprise AI Architect · AI Infrastructure Engineer · AI Systems Architect · AI Infrastructure Architect · Machine Learning Architect · Generative AI Architect · Agentic AI System Architect · AI Application Architect · AI Software Architect · AI Cloud Architect

2.2 AI Product Designer

Designs the way how people experience AI-enabled products. They design interfaces, workflows, and interactions that make complex AI systems understandable, useful, and trustworthy with a focus on human needs, business goals, and machine capabilities.

Ensures AI products and services are intuitive, usable, and aligned with user and business needs.

Competences and required levels: A.4 e-3
A.6 e-3
A.9 e-3
A.10 e-4
B.5 e-3
D.11 e-3
E.4 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Operator
Skill areas: AI Product Management, AI Adoption & Enablement, Human-Model Interaction Design, MLOps & AI Lifecycle Management, AI Compliance & Regulatory Readiness, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Modelling, Explainability & Interpretability (XAI), Prompt Engineering, Generative AI, Synthetic Data Generation, Regulatory Reporting & Documentation, AI Business Application & Impact, AI Value Measurement & ROI, Vendor & Partner Management for AI
Also advertised as: AI Experience Designer · AI UX Designer · AI UX/Product Designer · Intelligent Product Designer · ML UX Designer · AI Interaction Designer · AI Systems Designer · Human-Centred AI Designer · Explainable AI Designer · XAI Designer · Responsible AI UX Designer · Conversational AI Designer · AI Service Designer · AI Design Lead · AI Design Specialist · Generative AI Designer · Human-AI Interaction Designer · Machine Learning UX Designer · Intelligent Systems Designer

2.3 AI Engineer

Builds and deploys AI models and systems.

Ensures building and implementing AI systems that may encompass a wide range of techniques. Ensures scalability, dependability and efficiency of AI systems. Manages deployment pipelines for AI solutions.

Competences and required levels: A.6 e-3
A.7 e-3
B.1 e-3
B.2 e-3
B.3 e-3
B.4 e-3
B.5 e-3
C.4 e-3
D.7 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Provider, Operator
Skill areas: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Modelling, Explainability & Interpretability (XAI), Human-Model Interaction Design, Prompt Engineering, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Data Privacy Engineering, AI System Architecture & Enterprise Integration, Testing AI-based systems, Model Evaluation & Validation, MLOps & AI Lifecycle Management, AI Infrastructure, AI Security, Regulatory Reporting & Documentation, AI Incident Management & Response, Data Analytics, Data Engineering, AI Ethics
Also advertised as: AI Systems Engineer · AI Orchestration Engineer · AI Optimisation Engineer · AI Algorithm Engineer · Intelligent Systems Engineer · ML Engineer · ML Expert · DL Engineer · DL Expert · Neural Network Engineer · Computer Vision Engineer · Computer Vision Expert · NLP Engineer · NLP Expert · LLM Engineer · Generative AI Engineer · Conversational AI Engineer · Prompt Engineer · Agentic AI Engineer · AI Agent Engineer · Quantum AI Engineer · Quantum ML Engineer

2.4 AI Application Developer

Designs and develops AI applications to meet solution specifications.

Ensures developing, coding, and testing AI applications and algorithms. Writes code for AI models and develops AI algorithms. Implements AI solutions into applications and finetunes the AI models based on performance.

Competences and required levels: A.6 e-3
B.1 e-3
B.2 e-3
B.3 e-2
B.5 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Provider, Operator
Skill areas: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Modelling, Explainability & Interpretability (XAI), Human-Model Interaction Design, Prompt Engineering, Generative AI, AI Platforms & Frameworks, Data Privacy Engineering, AI System Architecture & Enterprise Integration, AI Tooling & Ecosystem, Testing AI-based systems, Model Evaluation & Validation, Regulatory Reporting & Documentation
Also advertised as: AI Developer · AI Software Developer · AI Systems Developer · Intelligent Systems Developer · Business Intelligence Developer · AI Programmer · AI Practitioner · LLM Developer · AI Chatbot Developer · AI Agent Developer · Agentic AI Developer · Quantum AI Developer

2.5 AI Researcher

Conducts research, both, in AI and ML, to explore and develop new algorithms, models, and theoretical foundations in order to advance the field of AI.

Advances AI technology by creating novel methods, improving model capabilities, and contributing research that enables safe, ethical, and impactful AI systems for the benefit of society. Operates at the intersection of computer science, mathematics, and domain knowledge to push the boundaries of what machines can learn, reason, and do.

Competences and required levels: A.7 e-5
A.9 e-5
D.7 e-5
D.10 e-4
D.11 e-4
Qualification level: EQF 8 — Doctorate (graduate)
AI Act actor context: Provider, Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Machine Learning, Deep Learning, Synthetic Data Generation, AI Adoption & Enablement, Data Analytics, Data Engineering, AI Ethics, Data Quality & Governance, AI Compliance & Regulatory Readiness, AI Business Application & Impact, AI Value Measurement & ROI, Human-Model Interaction Design
Also advertised as: AI Research Scientist · ML Researcher · AI/ML/DL/LLM Scientist · AI Research Engineer · Algorithmic Research Engineer · Applied Research Scientist · Generative AI Research Scientist · AI Safety Research Scientist · Responsible AI Researcher · AI Ethics Research Scientist · Trustworthy AI Researcher

2.6 AI Quality & Evaluation Specialist

Ensures AI systems meet defined standards for performance, robustness, fairness, reliability, safety, and ethical behaviour prior to release. Evaluates AI systems across a wide range of tasks, use cases, and performance metrics. Assesses model outputs for accuracy, relevance, safety, robustness, and overall quality and reviews prompts, responses, and model behaviour against established standards.

Ensures high-quality, reliable, and responsible AI performance through end-to- end model evaluation. Designs and executes testing, validation, and evaluation processes that assess AI models and systems against technical, ethical, and business requirements.

Competences and required levels: A.8 e-3
B.3 e-4
B.5 e-3
D.2 e-4
D.7 e-2
E.3 e-3
E.6 e-3
E.8 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Operator
Skill areas: Safe, Responsible & Sustainable AI, Model Optimisation & Efficiency, AI Compliance & Regulatory Readiness, Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), Regulatory Reporting & Documentation, AI Policy & Regulation, AI Risk, Assurance & Audit, Data Analytics, Machine Learning, Deep Learning, Data Engineering, AI Ethics, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Data Quality & Governance, AI Security, AI Incident Management & Response
Also advertised as: AI Test Specialist · AI Tester · AI Testing Professional · AI Software Tester · Specialist Software AI/ML Tester · AI QA Tester · Tester AI Application Development · AI Test Engineer · AI Prompt Tester · AI Evaluator · Evaluator of AI Models · AI/ML Content Evaluator · AI Prompt Evaluator · AI Writing Evaluator · LLM Evaluator · AI Reviewer · AI Rater · AI Quality Rater · AI Data Rater · AI Quality Engineer · AI Quality Specialist · AI QA Specialist

2.7 AI Deployment Engineer

Packages, releases, and promotes AI models and AI-enabled services into production environments in a secure, scalable, and repeatable manner.

Ensures AI solutions move reliably from development to production by managing deployment pipelines, environment configurations, and release processes while minimising operational risk and downtime.

Competences and required levels: B.2 e-3
B.3 e-2
B.4 e-3
B.5 e-2
C.2 e-3
C.3 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Provider, Operator
Skill areas: AI System Architecture & Enterprise Integration, AI Tooling & Ecosystem, Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), MLOps & AI Lifecycle Management, AI Infrastructure, AI Security, Regulatory Reporting & Documentation, Change Management for AI, AI Performance Monitoring, AI Adoption & Enablement, Model Optimisation & Efficiency
Also advertised as: AI Implementation Engineer · AI Systems Engineer · AI Production Engineer · AI Integration Engineer · Model Deployment Engineer · ML Deployment Engineer · Applied AI Engineer

2.8 MLOps Engineer

Develops, implements and maintains processes and tools that automate creating, training, deploying and updating ML models.

Deploys and maintains the ML models in the production environment. Focuses on automating, simplifying, and streamlining ML models across the entire development lifecycle and improving workflows to develop, deploy, and manage them faster and easier. This includes standardising processes, increasing visibility and collaboration, and automating AI/MLOps tasks.

Competences and required levels: B.1 e-3
B.2 e-3
B.4 e-3
B.6 e-3
C.2 e-3
C.3 e-3
C.5 e-3
E.5 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Provider, Operator
Skill areas: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, AI Platforms & Frameworks, Data Privacy Engineering, AI System Architecture & Enterprise Integration, AI Tooling & Ecosystem, MLOps & AI Lifecycle Management, AI Infrastructure, AI Security, Data Engineering, Change Management for AI, AI Performance Monitoring, AI Adoption & Enablement, Model Optimisation & Efficiency, Operating Model Design for AI, AI Automation
Also advertised as: AIOps Engineer · AIOps Specialist · AIOps Professional · AI Operations Specialist · MLOps Engineer · MLOps Specialist · MLOps Professional · ML Operations Specialist · LLMOps Engineer · AI/ML Workflow Engineer

2.9 AI Reliability Engineer

Ensures AI systems and pipelines are robust, resilient, and fault-tolerant. Designs architectures and processes that prevent failures, recover from incidents, and maintain operational stability, so AI systems can be trusted to run reliably at scale.

Delivers resilient and dependable AI systems by building fault-tolerant architectures, implementing safeguards, and optimising operational processes, ensuring AI performs reliably under all conditions.

Competences and required levels: A.5 e-3
B.3 e-3
C.5 e-3
E.3 e-3
E.6 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Deployer, Operator
Skill areas: AI System Architecture & Enterprise Integration, AI Solution Architecture, AI Infrastructure, AI Security, Data Engineering, Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), AI Performance Monitoring, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Data Quality & Governance
Also advertised as: ML Reliability Engineer · AI Ops Reliability Engineer · AI Robustness Engineer · AI Systems Reliability Engineer · AI Assurance Engineer · Trustworthy AI Engineer · Autonomous Systems Reliability Engineer

2.10 AI Observability & Monitoring Specialist

Ensures AI models and pipelines are continuously tracked, measured, and analysed. Detects anomalies, monitors model performance, and provides actionable insights to maintain accuracy, fairness, and trustworthiness in AI systems. Builds the instrumentation needed to observe AI systems and models in production.

Enables timely detection and diagnosis of issues by monitoring AI performance and drift, and by delivering actionable insights to support operational, technical, and business decision-making. Enables timely, informed responses that protect performance, compliance, and user trust.

Competences and required levels: B.3 e-3
C.3 e-3
C.4 e-3
C.5 e-3
D.7 e-3
D.10 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Deployer, Operator
Skill areas: Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), AI Performance Monitoring, Model Optimisation & Efficiency, AI Infrastructure, AI Incident Management & Response, AI Security, Data Analytics, Machine Learning, Deep Learning, Data Engineering, AI Ethics, Data Quality & Governance, AI Compliance & Regulatory Readiness
Also advertised as: AI Monitoring Engineer · AI Observability Engineer · AI Performance & Monitoring Engineer · AI/ML Monitoring Specialist · ML Systems Monitoring Engineer

2.11 AI Incident Response & Reporting Lead

Oversees, coordinates and manages the identification, investigation, and resolution of AI system incidents while ensuring timely, accurate reporting to stakeholders and regulators. Collaborates across engineering, risk, and compliance teams to monitor AI behaviour, mitigate risks, and improve system safety and reliability.

Ensures safe, reliable, and accountable AI operations by leading incident response, analysing root causes, and providing clear, actionable reporting to stakeholders and regulators.

Competences and required levels: B.5 e-3
C.3 e-3
C.4 e-4
E.3 e-3
E.4 e-3
E.8 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Deployer, Operator
Skill areas: Regulatory Reporting & Documentation, Explainability & Interpretability (XAI), AI Performance Monitoring, Model Optimisation & Efficiency, AI Infrastructure, Model Evaluation & Validation, AI Incident Management & Response, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, AI Adoption & Enablement, Vendor & Partner Management for AI, AI Security
Also advertised as: AI Incident Response Manager · AI Incident Lead · AI Systems Incident Manager · AI Safety Incident Coordinator · AI Operations Response Lead · AI Monitoring & Response Lead · Head of AI Incident Response & Reporting · AI Oversight & Incident Manager · AI Incident & Assurance Lead

2.12 AI Platform Engineer

Manages and maintains the shared infrastructure, platforms, and services that support the development, deployment, and operation of AI systems at scale.

Provides secure, scalable, and cost-efficient infrastructure and platforms by managing compute, storage, environments, and access controls that enable teams to build and run AI solutions effectively.

Competences and required levels: B.2 e-3
B.3 e-2
B.6 e-3
C.3 e-3
C.5 e-3
E.3 e-3
E.8 e-2
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Operator
Skill areas: AI System Architecture & Enterprise Integration, AI Tooling & Ecosystem, Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), AI Infrastructure, AI Platforms & Frameworks, AI Security, Data Engineering, AI Performance Monitoring, Model Optimisation & Efficiency, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, AI Incident Management & Response
Also advertised as: AI Infrastructure Engineer · AI Systems Administrator · AI Admin · AI SysAdmin · ML Administrator · ML Admin

3 Support & Guidance (8)

3.1 AI Security Specialist

Ensures the implementation of the organisation’s AI security policy by the secure and appropriate protection of AI solutions and the data they depend on.

Defines, proposes and implements necessary information security techniques and practices to address AI-based threats and attacks that specifically target AI technologies, compliant with legal requirements, information security standards and procedures. Contributes to AI security practices, awareness and compliance by providing advice, support, information and training.

Competences and required levels: A.5 e-3
A.7 e-4
C.4 e-3
D.1 e-4
E.3 e-3
E.8 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Importer, Operator
Skill areas: AI System Architecture & Enterprise Integration, AI Solution Architecture, AI Infrastructure, AI Security, Data Engineering, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Model Evaluation & Validation, AI Incident Management & Response, Data Privacy Engineering, Safe, Responsible & Sustainable AI, AI Compliance & Regulatory Readiness, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk
Also advertised as: AI Security Engineer · AI Security Professional · AI Security Operations Centred Expert · ML Security Specialist · ML Security Engineer

3.2 AI Service Support Specialist

Provides remote or onsite diagnosis and user support to internal or external clients with technical issues regarding AI-enabled services.

Enables users to have an efficient and secure use of AI services and a positive user experience. Maintains a smooth operation of AI services by feeding insights back into continuous service improvement, while addressing issues and supporting users.

Competences and required levels: C.1 e-2
C.2 e-2
C.3 e-2
C.4 e-2
Qualification level: EQF 5 — Associate degree; post-secondary (undergraduate)
AI Act actor context: Deployer, Distributor, Operator
Skill areas: AI Adoption & Enablement, Change Management for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, Model Optimisation & Efficiency, AI Infrastructure, Model Evaluation & Validation, AI Incident Management & Response
Also advertised as: AI Support Specialist · AI Customer Support Specialist · AI Services Support Specialist · AI Operations Support Specialist · AI Platform Support Specialist · AI Application Support Specialist · AI Client Support Specialist · AI Customer Success Specialist · AI Service Delivery Specialist

3.3 AI Educator

Educates and trains professionals to reach optimal AI competence to support organisation performance.

Provide the knowledge and skills required to ensure that people are able to effectively perform AI related tasks in the workplace.

Competences and required levels: A.7 e-3
B.5 e-3
D.3 e-4
D.9 e-3
D.10 e-4
D.11 e-3
E.4 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Deployer, Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Regulatory Reporting & Documentation, Explainability & Interpretability (XAI), AI Adoption & Enablement, AI Ethics, Data Quality & Governance, AI Compliance & Regulatory Readiness, AI Business Application & Impact, AI Value Measurement & ROI, Human-Model Interaction Design, Vendor & Partner Management for AI
Also advertised as: AI Lecturer · AI Teacher · AI Trainer · Trainer in AI · AI Curriculum Developer · AI Learning Development Manager · AI Training & Competence Specialist · AI Literacy & Training Specialist

3.4 AI Advisor

Provides advice and supports understanding of how AI adds value to an organisation.

Maintains a technology watch to inform stakeholders of existing and emerging AI technologies and their potential to add value. Supports the identification of needs and AI solutions for achieving organisation and AI/IT strategic goals.

Competences and required levels: A.1 e-4
A.7 e-3
A.9 e-4
D.11 e-4
E.3 e-3
E.4 e-4
E.5 e-4
E.7 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Authorised Representative, Operator
Skill areas: AI Strategy, Operating Model Design for AI, AI Business Application & Impact, AI Governance, AI Ethics, AI Economics & Cost Management, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Machine Learning, Deep Learning, Synthetic Data Generation, AI Adoption & Enablement, AI Value Measurement & ROI, Human-Model Interaction Design, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Vendor & Partner Management for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Automation, Change Management for AI, Project & Program Management of AI Initiatives, AI Policy & Regulation
Also advertised as: AI Consultant · AI Specialist · AI Adoption Specialist · AI Adoption Advisor · AI Strategy Advisor · AI Business Advisor · AI Solutions Advisor · AI Solutions Consultant · AI Capability Advisor · AI Use Case Advisor · AI Portfolio Advisor · AI Value Advisor · AI Transformation Advisor · AI Innovation Advisor · AI Strategic Planning Advisor · AI Legal Advisor · AI Ethics Consultant

3.5 AI Safety Specialist

Ensures that AI systems are developed, deployed, and maintained with a focus on user safety, trust, and ethical standards.

Designs and implements systems, safety measures and tools to detect and prevent abuse, promote user safety, and reduce risks across AI platforms and throughout the development process. Conducts risk assessments to identify potential harms associated with AI systems. Assists in responding to incidents.

Competences and required levels: A.7 e-3
A.8 e-3
B.3 e-3
D.3 e-3
E.3 e-3
E.8 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Deployer, Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Safe, Responsible & Sustainable AI, Model Optimisation & Efficiency, AI Compliance & Regulatory Readiness, Testing AI-based systems, Model Evaluation & Validation, Explainability & Interpretability (XAI), AI Adoption & Enablement, AI Ethics, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, AI Security, AI Incident Management & Response
Also advertised as: AI Safety Expert · Safety Expert for AI Systems · AI Safety Engineer · AI Trust and Safety Engineer · ML Safety Engineer · AI Platform Safety Engineer · User Safety & Integrity Engineer · AI/ML Abuse Prevention Engineer · AI Content Safety Engineer

3.6 Responsible AI Officer

Ensures AI systems are designed, developed, deployed, and used in an ethical manner, building human-centricity into design and ensuring protection of fundamental human rights across the entire lifecycle.

Establishes, maintains, communicates and promotes AI ethics policies, guidelines, and protocols for AI development, deployment and use within the organisation, in line with corporate governance guardrails. Conducts ethical reviews, evaluates and monitors AI applications and their consequences on different stakeholder groups and on fundamental human rights. Ensures accountability for AI-related decisions and actions from an ethical lens.

Competences and required levels: A.7 e-3
A.8 e-3
B.5 e-3
D.2 e-4
D.3 e-3
E.5 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Deployer, Authorised Representative, Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Safe, Responsible & Sustainable AI, Model Optimisation & Efficiency, AI Compliance & Regulatory Readiness, Regulatory Reporting & Documentation, Explainability & Interpretability (XAI), AI Policy & Regulation, AI Risk, Assurance & Audit, AI Adoption & Enablement, AI Ethics, Operating Model Design for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Automation
Also advertised as: AI Ethics Officer · AI Ethicist · Responsible AI Specialist/ Lead/ Director · Manager/ Director Responsible AI · AI Ethics Specialist/ Manager/ Director/ Lead

3.7 Sustainable AI Lead

Promotes environmentally and socially sustainable AI practices across the organisation.

Minimises the environmental footprint and long-term societal impact of AI by guiding responsible resource use, lifecycle management, and sustainability- aligned decision-making.

Competences and required levels: A.1 e-4
A.7 e-3
A.8 e-4
D.4 e-3
D.10 e-4
E.4 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Operator
Skill areas: AI Strategy, Operating Model Design for AI, AI Business Application & Impact, AI Governance, AI Ethics, AI Economics & Cost Management, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Safe, Responsible & Sustainable AI, Model Optimisation & Efficiency, AI Compliance & Regulatory Readiness, Vendor & Partner Management for AI, Data Quality & Governance, AI Adoption & Enablement
Also advertised as: Head of Sustainable AI · AI Sustainability Director · Director of Sustainable AI · AI Sustainability Lead · Sustainability & AI Integration Lead · Climate-Conscious AI Lead · Green AI Lead · Green AI Program Lead · AI for Sustainability Lead · ESG & AI Strategy Lead · Sustainable AI Technology Strategy Lead · AI Impact & Sustainability Lead Human-AI Interaction Head of Human–AI Interaction · Director of Human–AI Experience · Lead Human–AI Strategy Lead · Human-Centred AI Lead · Head of AI Interaction · Director of Human-Centred AI AI Transformation Lead AI Transformation Officer/ Director · AI Adoption Lead · AI Innovation Leader · AI Change Management Lead · AI Workforce Transformation Lead · AI Integration Lead · AI Acceleration Lead

3.8 Human-AI Interaction Lead

Optimises how humans interact with AI systems to ensure usability, trust, and effective collaboration. Assesses the interactions between AI systems and the human beings tasked with human oversight of the output.

Ensures that all human interactors are trained and competent in their roles. Designs and evaluates human-AI interactions that enhance human judgment, support user needs, and ensure AI systems remain understandable, controllable, and beneficial.

Competences and required levels: A.6 e-3
A.7 e-3
A.10 e-4
B.3 e-3
D.3 e-3
D.11 e-4
E.3 e-3
E.5 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Deployer, Operator
Skill areas: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Modelling, Explainability & Interpretability (XAI), Human-Model Interaction Design, Prompt Engineering, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Testing AI-based systems, Model Evaluation & Validation, AI Adoption & Enablement, AI Ethics, AI Business Application & Impact, AI Value Measurement & ROI, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Operating Model Design for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Automation
Also advertised as: Head of Human–AI Interaction · Director of Human–AI Experience · Human–AI Strategy Lead · Human-Centred AI Lead · Head of AI Interaction · Director of Human-Centred AI

4 Management (7)

4.1 AI Transformation Lead

Provides leadership for the implementation of the AI transformation of the organisation, driving successful adoption of AI.

Drives cultural change and builds digital capability to deliver innovative AI-based business models, products, services, and processes.

Competences and required levels: A.1 e-5
A.3 e-5
A.5 e-4
A.7 e-4
A.8 e-4
A.9 e-5
E.7 e-5
E.9 e-5
Qualification level: EQF 8 — Doctorate (graduate)
AI Act actor context: Deployer, Distributor, Operator
Skill areas: AI Strategy, Operating Model Design for AI, AI Business Application & Impact, AI Governance, AI Ethics, AI Economics & Cost Management, AI Value Measurement & ROI, Third-Party & Supply Chain AI Risk, AI System Architecture & Enterprise Integration, AI Solution Architecture, AI Infrastructure, AI Security, Data Engineering, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Safe, Responsible & Sustainable AI, Model Optimisation & Efficiency, AI Compliance & Regulatory Readiness, Machine Learning, Deep Learning, Synthetic Data Generation, AI Adoption & Enablement, Change Management for AI, Project & Program Management of AI Initiatives, AI Policy & Regulation
Also advertised as: AI Transformation Officer/ Director · AI Adoption Lead · AI Innovation Leader · AI Change Management Lead · AI Workforce Transformation Lead · AI Enablement Lead

4.2 Chief AI Officer (Caio)

Defines and implements an AI strategy, (ethics) policy, and governance across the organisation.

Ensures the alignment of the AI strategy with the organisation strategy. Provides leadership for the strategy, development and implementation of the organisation’s AI applications, to create a sustainable competitive edge.

Competences and required levels: A.1 e-5
A.3 e-5
A.7 e-5
A.8 e-4
A.9 e-5
E.2 e-5
E.3 e-4
E.4 e-4
E.9 e-5
Qualification level: EQF 8 — Doctorate (graduate)
AI Act actor context: Provider, Authorised Representative, Operator
Skill areas: AI Strategy, Operating Model Design for AI, AI Business Application & Impact, AI Governance, AI Ethics, AI Economics & Cost Management, AI Value Measurement & ROI, Third-Party & Supply Chain AI Risk, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Safe, Responsible & Sustainable AI, Model Optimisation & Efficiency, AI Compliance & Regulatory Readiness, Machine Learning, Deep Learning, Synthetic Data Generation, AI Adoption & Enablement, Project & Program Management of AI Initiatives, AI Product Management, AI Risk, Assurance & Audit, Model Risk Management (MRM), Vendor & Partner Management for AI
Also advertised as: AI Strategist · AI Strategy Manager · Chief AI Strategy Officer · Chief Intelligence Officer · AI Lead · AI Director · Director of AI · Director of Intelligent Systems · Head of AI

4.3 AI Tech Lead

Provides technical leadership for AI solutions, guiding architecture, model development, code quality and engineering best practices.

Ensures AI systems are technically sound, scalable, and maintainable by setting standards, mentoring teams, and translating requirements into robust AI architectures.

Competences and required levels: A.5 e-4
A.6 e-4
A.7 e-4
B.6 e-4
D.7 e-4
E.2 e-4
E.4 e-3
E.5 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Operator
Skill areas: AI System Architecture & Enterprise Integration, AI Solution Architecture, AI Infrastructure, AI Security, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Modelling, Explainability & Interpretability (XAI), Human-Model Interaction Design, Prompt Engineering, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Data Analytics, AI Ethics, Project & Program Management of AI Initiatives, AI Product Management, AI Adoption & Enablement, Vendor & Partner Management for AI, Operating Model Design for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Automation
Also advertised as: AI Technical Lead · Lead AI Engineer · AI Lead · AI Engineering Lead · ML Tech Lead · ML Engineering Lead · Principal AI Engineer · Staff AI Engineer · Head of AI Engineering · Director of AI Engineering · AI Platform Lead · AI Infrastructure Lead AI Manager of AI · AI Program Manager · AI Portfolio Manager · AI Team Manager · AI General Manager

4.4 AI Manager

Oversees the AI team’s people, resources, and overall performance, ensuring that the team is organised, skilled, and aligned with organisational objectives.

Builds, leads, and grows a high-performing AI team that delivers impactful solutions, balancing talent development, team productivity, and alignment with business goals.

Competences and required levels: D.9 e-4
D.11 e-4
E.2 e-4
E.3 e-3
E.4 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Operator
Skill areas: AI Adoption & Enablement, AI Business Application & Impact, AI Value Measurement & ROI, Human-Model Interaction Design, Project & Program Management of AI Initiatives, AI Product Management, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Vendor & Partner Management for AI
Also advertised as: Manager of AI · AI Program Manager · AI Portfolio Manager · AI Team Manager · AI General Manager

4.5 AI Product Manager

Oversees the development, implementation, and optimisation of AI products and solutions within an organisation. Focuses on vision, requirements, roadmap, and stakeholder alignment.

Defines AI product vision and strategy based on market, customer needs and business goals. Defines product requirements, works closely with stakeholders, data scientists, and engineers, guiding the product development teams, prioritising features and potential releases. Validates that the developed AI solution meets requirements.

Competences and required levels: A.3 e-3
A.4 e-4
A.7 e-3
A.9 e-4
A.10 e-3
D.4 e-3
D.11 e-4
E.2 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Importer, Distributor, Operator
Skill areas: AI Value Measurement & ROI, AI Business Application & Impact, AI Economics & Cost Management, Third-Party & Supply Chain AI Risk, AI Product Management, AI Adoption & Enablement, Human-Model Interaction Design, MLOps & AI Lifecycle Management, AI Compliance & Regulatory Readiness, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Machine Learning, Deep Learning, Synthetic Data Generation, Explainability & Interpretability (XAI), Vendor & Partner Management for AI, Project & Program Management of AI Initiatives
Also advertised as: AI Product Owner · AI Product Lead · Head of AI Product · ML Product Manager · ML Product Owner · Intelligent Systems Product Manager · Intelligent Products Lead · AI Solutions Manager · AI Business Product Manager

4.6 AI Operations Manager

Manages AI operations, including the people and overall resources involved. Ensures deploying, running, and maintaining AI systems reliably in production.

Implements and maintains (a designated part of an) AI operation ensuring that activities are conducted in accordance with organisational rules, processes and standards. Plans, changes and implements them in accordance with the organisational AI strategy and budget. Manages risks and ensures the effectiveness of the AI operation and infrastructure.

Competences and required levels: C.2 e-3
C.3 e-3
C.4 e-3
C.5 e-3
D.9 e-3
E.3 e-3
E.5 e-3
E.6 e-3
E.8 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Deployer, Importer, Distributor, Operator
Skill areas: Change Management for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Adoption & Enablement, Model Optimisation & Efficiency, AI Infrastructure, Model Evaluation & Validation, AI Incident Management & Response, AI Security, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Operating Model Design for AI, AI Automation, Data Quality & Governance, Testing AI-based systems
Also advertised as: AI Ops Manager · Manager AI Operations · AI Operations Lead/ Director · AI Systems Operations Manager · ML Ops Manager · AI Infrastructure Operations Manager · Model Operations Manager · AI Data Operations Manager

4.7 AI Project Manager

Plans, coordinates implementation and manages AI projects to achieve optimal performance and results, coordinating tasks, timelines and stakeholders across teams.

Successfully delivers AI initiatives on time and within scope. Defines, implements and manages AI projects from conception to final delivery. Responsible for achieving optimal results, conforming to relevant regulations, ethical guidelines, and industry standards for quality, safety and sustainability and complying with defined scope, performance, costs, and schedule. Ensures clear communication between business, technical, and operational stakeholders.

Competences and required levels: A.4 e-4
B.5 e-3
D.11 e-3
E.2 e-4
E.3 e-3
E.4 e-3
E.7 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Deployer, Operator
Skill areas: AI Product Management, AI Adoption & Enablement, Human-Model Interaction Design, MLOps & AI Lifecycle Management, AI Compliance & Regulatory Readiness, Regulatory Reporting & Documentation, Explainability & Interpretability (XAI), AI Business Application & Impact, AI Value Measurement & ROI, Project & Program Management of AI Initiatives, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Vendor & Partner Management for AI, Change Management for AI, AI Policy & Regulation
Also advertised as: Project Manager AI · AI Project Lead · ML Project Manager · MLOps Project Manager · Applied AI Project Manager · AI Implementation Manager · AI Delivery Manager

5 Governance (4)

5.1 AI Governance Officer

Leads the development, implementation, and oversight of an organisation’s AI governance framework and AI policy.

Establishes and maintains AI governance structures that promote responsible AI use, guide organisational decision-making, and ensure transparency, accountability, and alignment with overall business goals. Ensures AI systems work as expected and are used properly, under proper monitoring, control and oversight. The aim is to minimise unexpected behaviour that results in harm to users, affected persons, business and society at large.

Competences and required levels: A.1 e-4
A.7 e-3
D.1 e-4
D.2 e-4
D.10 e-4
E.3 e-4
E.4 e-4
E.9 e-5
Qualification level: EQF 8 — Doctorate (graduate)
AI Act actor context: Provider, Authorised Representative, Importer, Operator
Skill areas: AI Strategy, Operating Model Design for AI, AI Business Application & Impact, AI Governance, AI Ethics, AI Economics & Cost Management, AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, AI Security, Data Privacy Engineering, Safe, Responsible & Sustainable AI, AI Compliance & Regulatory Readiness, AI Policy & Regulation, AI Risk, Assurance & Audit, Data Quality & Governance, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, AI Adoption & Enablement, Vendor & Partner Management for AI
Also advertised as: Head of AI Governance · Director of AI Governance · AI Governance Lead · Responsible AI Governance Lead · AI Governance Specialist · AI Policy Lead · Enterprise AI Governance Manager · AI Officer · AI Policy Specialist · AI Policy Lead

5.2 AI Compliance Officer

Assures compliance of the development, deployment, and use of AI systems with relevant laws, regulations, standards, internal policies and ethical practices.

Ensures AI systems are compliant with all applicable laws and regulations, protecting the organisation from potential legal and financial risks. Commits the organisation to the adherence to relevant laws, regulations, and industry standards governing AI use, so that AI systems are ethical, legal and secure.

Competences and required levels: A.7 e-3
B.5 e-3
D.1 e-4
D.8 e-3
E.3 e-3
E.5 e-3
E.6 e-3
E.8 e-4
E.9 e-4
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Deployer, Authorised Representative, Importer, Distributor, Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Regulatory Reporting & Documentation, Explainability & Interpretability (XAI), AI Security, Data Privacy Engineering, Safe, Responsible & Sustainable AI, AI Compliance & Regulatory Readiness, Third-Party & Supply Chain AI Risk, AI Risk, Assurance & Audit, Model Risk Management (MRM), Operating Model Design for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Automation, Data Quality & Governance, Model Evaluation & Validation, Testing AI-based systems, AI Incident Management & Response
Also advertised as: Compliance Officer AI · AI Regulatory Compliance Officer · AI Compliance Manager · AI Compliance Director · Responsible AI Compliance Lead · AI Legal & Compliance Officer · AI Policy Compliance Manager · AI Regulatory Affairs Manager · AI Trust and Privacy Compliance Officer · AI Vendor/Third-Party/Supplier Compliance Manager · AI Regulatory Representative · AI Authorised Representative · EU Representative

5.3 AI Risk Manager

Leads and manages the organisation’s AI risk governance activities.

Ensures the organisation’s exposure to AI related risks is effectively identified, measured, managed and mitigated and all activities conducted are in compliance with governing regulations, security standards, and internal policies and procedures to minimise risk.

Competences and required levels: A.7 e-3
B.5 e-3
D.1 e-4
D.10 e-3
E.3 e-4
E.5 e-3
E.6 e-3
E.8 e-3
Qualification level: EQF 7 — Master's degree (graduate)
AI Act actor context: Provider, Authorised Representative, Importer, Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, Regulatory Reporting & Documentation, Explainability & Interpretability (XAI), AI Security, Data Privacy Engineering, Safe, Responsible & Sustainable AI, AI Compliance & Regulatory Readiness, Data Quality & Governance, AI Ethics, AI Risk, Assurance & Audit, Model Risk Management (MRM), Third-Party & Supply Chain AI Risk, Operating Model Design for AI, MLOps & AI Lifecycle Management, AI Performance Monitoring, AI Automation, Model Evaluation & Validation, Testing AI-based systems, AI Incident Management & Response
Also advertised as: AI Risk Officer · AI Risk & Controls Manager · AI Model Risk Manager · AI Operational Risk Lead · Risk Management Specialist in AI · Responsible AI Risk Manager

5.4 AI Auditor

Performs AI audits to ensure AI systems operate within established statutory, regulatory, ethical, technical and policy frameworks, standards and requirements.

Conducts independent reviews to assess the effectiveness of processes and controls and the overall compliance with the organisation's legal and regulatory frameworks and policies. Evaluates, tests and verifies AI-related products, functions, algorithms, models, data streams and policies ensuring compliance with guidelines, standards and regulations.

Competences and required levels: A.7 e-3
B.3 e-2
B.5 e-3
D.8 e-3
E.3 e-3
Qualification level: EQF 6 — Bachelor's degree (undergraduate)
AI Act actor context: Operator
Skill areas: AI Market & Technology Intelligence, Generative AI, AI Tooling & Ecosystem, AI Platforms & Frameworks, AI System Architecture & Enterprise Integration, Regulatory Reporting & Documentation, Explainability & Interpretability (XAI), Third-Party & Supply Chain AI Risk, AI Compliance & Regulatory Readiness, AI Risk, Assurance & Audit, Model Risk Management (MRM)
Also advertised as: AI and ML Auditor · AI Audit Manager · AI Assurance Lead · AI Systems Auditor · Responsible AI Auditor · Technology & AI Audit Lead · Model Audit Specialist · Internal AI Auditor · Algorithm Auditor · AI Audit Specialist · Algorithm Audit Specialist · Compliance Auditor · Regulatory Assurance Specialist