Responsible AI Engineer

About the role

As a Responsible AI Engineer , you will make an impact by engineering the trust, safety, and governance layer for agentic AI systems deployed at enterprise scale. You will be a valued member of the AI Market Unit (FDE Pod) and work collaboratively with AI engineers, architects, risk teams, and client stakeholders to ensure every AI solution is safe, compliant, and production-ready.

What you'll do

• Design and implement runtime guardrails and safety architectures for LLM and agentic AI systems, including input/output controls, prompt injection detection
• Lead red-teaming and adversarial testing initiatives to identify vulnerabilities such as jailbreaks, prompt injections
• Build and operationalize AI governance and compliance frameworks , translating regulations (e.g., EU AI Act, NIST AI RMF) into enforceable engineering controls
• Develop and deploy fairness, bias, and model evaluation pipelines , including hallucination detection, groundedness validation, and subgroup performance analysis
• Establish observability and auditability for AI systems through structured logging, audit trails, governance metrics, and incident response processes

What you need

• Machine learning
• Python
• LLMs
• Incident response
• System design
• CI/CD