A senior individual contributor who keeps the AI Office's standards, policies, portal and agents current, and turns AI governance into working technical controls. Reports to CAIO.

Key responsibilities
Own the AI Office website and knowledge portal; keep policies, approved tools, standards and guidance current.
Define standard AI tools and reference architectures (GenAI apps, RAG, agentic workflows, MCP); run tool evaluation, approval and deprecation.
Act as technical liaison to the enterprise AI gateway and AI Office agents, turning policy changes into configurations, guardrails and agent updates.
Work with the AI governance team to draft, review and update AI policies and standards;
Build and run the Responsible AI framework: use-case inventory, risk tiering, evaluation standards and periodic audits.
Lead agent risk analysis:



threat modelling, autonomy and permission reviews, red-teaming, monitoring and incident post-mortems.

Key qualifications
10+ years in software or platform engineering, including 3+ years shipping ML or GenAI systems in production.
Hands-on with LLM application patterns (RAG, tool calling, MCP, multi-agent frameworks) and cloud architecture on AWS, Azure or GCP.
Experience with LLM evaluation, observability and guardrails, and with AI security risks
Explicit policy and technical writing; able to work across engineering, legal, compliance and security.

Location - Chennai/Bangalore

📌 Senior Engineer, Machine Learning I Bengaluru (India)
🏢 Toyota Connected India
📍 India