Data and AI Careers
65+ structured careers with required skills, France and Switzerland salaries, and reference profiles.
77
careers
8
categories
Tous
sectors and organisations
2026
Updated
Value chain
The Data & AI value chain
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76 careers displayed
AI Architect
Designs the overall architecture of an organization's AI systems.
Agentic AI Engineer
Designs and deploys autonomous AI agent systems capable of planning, reasoning and executing complex multi-step tasks.
Cloud Data Engineer
Designs and operates cloud-native data pipelines, from real-time streaming to large-scale batch processing.
Data Engineer
Builds and maintains data pipelines that power analytics and AI systems.
ML Engineer
Industrializes machine learning models into robust, production-ready systems.
AI All-in-One Consultant
Rare profile covering the full AI cycle: strategic framing, architecture, development, deployment and training.
AI Agent Engineer
Designs and develops autonomous AI agents capable of executing complex multi-step tasks.
RAG Specialist
Expert in Retrieval-Augmented Generation systems. Designs production-ready RAG architectures with advanced chunking, reranking and evaluation.
Azure Data & AI Expert
Microsoft Azure specialist for data and AI: Synapse, Fabric, Azure ML, Databricks on Azure.
Databricks Engineer
Expert in the Databricks platform: Delta Lake, optimized Spark, MLflow and Unity Catalog for governance.
LLMOps Engineer
Specialist in the production lifecycle of LLMs: fine-tuning, RAG, evaluation, monitoring and inference cost optimization.
AWS Data & AI Expert
Amazon Web Services specialist for data and AI: Redshift, SageMaker, Glue, Bedrock.
AI Engineer
Designs and develops full AI systems, from LLMs to autonomous agents.
LLM Ops Engineer
Specialist in deploying and operating LLM systems in production.
AI Solutions Architect
Designs tailored AI solutions to address specific client needs.
AI Product Manager
Drives the vision and roadmap for AI products. Bridges users, business and technical teams.
Data Product Manager
Manages data products as full products. Defines the vision, roadmap and metrics of data assets.
AI Security Engineer
Specialist in securing AI systems. Protects against adversarial attacks, prompt injection and data leaks.
Chief AI Officer (CAIO)
Leads the organisation's AI strategy. Defines the vision, arbitrates investments and ensures alignment between AI initiatives and business objectives.
Forward Deployed Engineer
Field engineer who deploys frontier AI models at strategic customers, from discovery through to production rollout.
GCP Data & AI Expert
Specialist in the Google Cloud ecosystem for data and AI: BigQuery, Vertex AI, Dataflow, Pub/Sub.
Data Architect
Defines the overall vision and structure of an organization's data system.
Data Scientist
Develops predictive and statistical models to extract value from data.
MLOps Engineer
Automates and industrializes ML pipelines in production environments.
Cloud Data Architect
Designs and deploys modern cloud-native data architectures.
AI Strategic Consultant
Assesses an organization's AI needs and designs the transformation strategy.
AI Compliance Officer
Ensures AI deployments comply with current regulations, including the European AI Act. Defines internal policies and audits systems.
Fine-tuning Engineer
Specialist in adapting foundation models to specific domains. Masters LoRA, QLoRA and training dataset techniques.
Foundation Model Engineer
Designs and trains large-scale foundation models. Rare profile at the intersection of research and industrial engineering.
Head of AI / VP AI
Leads an organisation's AI division. Manages data scientists, ML engineers and AI engineers. Aligns AI practice with strategy.
AI Finance Quant
Combines quantitative modelling and AI to develop algorithmic trading strategies, risk management and financial scoring.
Data Steward
Responsible for the quality, consistency and compliance of data within a business domain or organisation.
Data & AI Platform Engineer
Builds and maintains the internal infrastructure (data platform) that data and AI teams use to develop, deploy and monitor their solutions.
Analytics Engineer
Transforms raw data into clean, documented analytical data, bridging Data Engineering and Analytics.
AI Research Scientist
Advances the frontiers of AI through fundamental and applied research.
NLP / Computer Vision Engineer
Specialist in natural language processing or computer vision.
AI Cloud Deployment Architect
Specialist in deploying AI systems on cloud infrastructure at scale.
Data Strategist
Defines an organization's data vision and strategy, aligning investments with business objectives.
Automation Engineer
Automates business processes by combining AI, no-code and code.
AI Risk Manager
Identifies, assesses and mitigates risks linked to AI systems: bias, security, compliance and societal impact.
Vector DB Engineer
Specialist in vector databases used for RAG systems and semantic search. Optimises indexing performance.
Multimodal AI Engineer
Develops AI systems capable of processing multiple modalities: text, image, audio and video. Specialist in vision-language models.
AI Infrastructure Engineer
Designs and operates GPU and TPU infrastructures required for large-scale AI model training and inference.
AI Sales Engineer
Combines AI technical expertise and commercial skills to support sales cycles for complex AI solutions.
AI Project Manager
Manages AI projects end to end: scoping, planning, coordinating technical teams and delivering on time and budget.
AI Healthcare Specialist
Combines medical expertise and AI skills to develop and deploy solutions in the healthcare sector. Regulatory expert.
AI Ops Engineer
Operates and maintains large-scale AI infrastructure.
AI Business Analyst
Translates business needs into actionable AI specifications.
AI Ethics Officer
Ensures AI systems comply with ethical, legal and regulatory principles.
Data Privacy Officer (AI DPO)
GDPR specialist with AI expertise. Oversees compliance of personal data processing within AI systems.
Data Quality Engineer
Ensures data quality, reliability and consistency throughout the pipeline. Implements controls and automated tests.
AI Business Translator
Bridges AI technical teams and business departments. Translates business needs into AI use cases and vice versa.
AI UX Designer
Designs user experiences for AI products, integrating the specificities of model interactions: trust, transparency and correction.
AI Power User
Advanced mastery of everyday AI tools to maximise personal and team productivity. Expert in prompting and tool selection.
Data Analyst
Analyzes data to extract actionable insights and help decision-makers make better, fact-based decisions.
Prompt Engineer
Optimizes interactions with LLMs to maximize response quality and reliability.
AI QA Engineer
Tests and evaluates AI systems to ensure reliability, safety and compliance.
AI Legal Advisor
Legal specialist in AI-related legal issues: intellectual property, liability, AI Act compliance and AI contracts.
DataOps Engineer
Applies DevOps principles to data pipelines: automation, testing, monitoring and continuous deployment of data flows.
AI Trainer / Annotator
Trains and refines AI models by providing high-quality labeled data.
AI Content Creator
Creates and distributes educational AI content for a broad audience. Simplifies complex concepts.
AI Audit Specialist
Audits AI systems to assess their compliance, fairness, transparency and alignment with governance standards.
BI Engineer
Designs and maintains Business Intelligence solutions: data warehouses, dashboards and analytical reports.
AI Change Manager
Supports organisational transformations driven by AI. Manages change management, training and team buy-in.
Human-AI Interaction Designer
Specialist in designing interactions between humans and AI systems. Optimises collaboration, trust and user experience.
No-code AI Builder
Builds AI applications and complex automations without writing code, using no-code platforms and accessible LLMs.
AI Educator
Trains individuals and organizations on AI technologies. Designs adapted learning journeys.
Data Governance Analyst
Defines and enforces data governance policies: ownership, classification, retention and quality.
Human-Machine Coordinator
Coordinates interactions between AI agents and human teams. Supervises hybrid workflows and ensures the quality of AI outputs.
Citizen Data Scientist
Non-data professional who uses low-code and AI tools to produce analyses, simple models and insights without mastering programming.
Knowledge Graph Engineer
Designs and develops knowledge graphs to represent relationships between entities. Improves contextual reasoning in AI systems.
Synthetic Data Engineer
Generates high-quality synthetic data to train AI models without using sensitive real data.
AI Scrum Master
Facilitates agile ceremonies for AI teams, removes obstacles and creates conditions for fast and reliable delivery.
AI Tech Writer
Produces technical documentation, articles and educational content on AI for both technical and non-technical audiences.
AI Procurement Specialist
Manages purchases of AI solutions and cloud services. Evaluates vendors, negotiates contracts and ensures acquisition compliance.
AI Philosopher
Reflects on the philosophical and societal implications of AI. Influences policies and culture.
Advisory
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