Ingénieur IA Senior H/F Huxley

Expertise
- Generative & Agentic AI: Understanding of LLM architectures (GPT, Claude, Mistral) and frameworks.
- AI Security: Familiarity with guardrail libraries, content filtering, prompt validation, and data protection techniques.
- Adversarial Testing: Expertise simulating attacks and assessing model robustness.
- MLOps & Deployment: Proficiency in Python, Docker, CI/CD, and cloud AI services (Azure, AWS, GCP).
- Governance Awareness: Expertise of Responsible AI principles, security risk frameworks, and the EU AI Act.
Service Qualifications
- Proven expertise in Computer Science, AI.
Senior level of expertise in AI engineering, ML security, or applied data science.
- Proven track record working with GenAI systems testing and evaluation.
- Strong collaboration and communication across technical and governance teams.

The mission focuses on:
- Evaluating and testing AI guardrail solutions for LLMs and agentic applications.
- Designing adversarial test scenarios (prompt injection, data exfiltration, jailbreaks).
- Integrating validated guardrails into cleint's AI pipelines and MLOps stack.
- Collaborating with Security, Compliance, and AI teams to define measurable safety indicators.