ROLE SUMMARY

As a Lead Responsible AI (RAI) Engineer, you will lead the design, implementation, and operationalization of responsible AI, safety, quality, evaluation, and governance practices across GenAI and agentic AI solutions. This role sits at the intersection of AI engineering, quality engineering, governance, and production operations, ensuring that AI systems are not only functional, but also safe, reliable, auditable, and fit for enterprise use.

You will work closely with AI engineers, architects, Team Leads, product owners, integration teams, and platform teams to embed responsible AI controls into the full product lifecycle. This role requires strong understanding of LLM systems, RAG pipelines, agentic workflows, prompt safety, guardrails, testing strategies, observability, and enterprise risk considerations. It is not a purely policy or compliance role — it is a hands-on technical leadership role that ensures AI systems can b...