- Santriya Technologies is seeking an AI Model Risk & AI Controls Officer to design and operate risk and control frameworks for AI, machine learning and agentic workflows across regulated financial products and operations.

- Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

- The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.

- Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.

- Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.

- Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

- Maintain AI/model inventory, risk tiering, ownership, intended use and approval status.

- Assess data, privacy, bias/fairness, explainability, security, robustness, human oversight and third-party risks.

- Define control requirements for GenAI prompts, RAG sources, tool permissions, logging, monitoring and fallback.

- Review material use cases before production and ensure evidence supports risk acceptance.

- Coordinate independent validation, compliance, legal, cybersecurity and operational-risk review.





- Monitor incidents, drift, hallucination/quality events and control exceptions.

- Support audit/regulatory requests with transparent documentation and traceability.

- Train business teams on responsible AI and prohibited uses.

- AI-enabled ways of working:

- Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.

- Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.

- Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.

- Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

- Human accountability: AI is a copilot, not the accountable decision-maker.

- The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.

- Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

- Success Measures:
- AI use cases have clear ownership and controls

- Material incidents and unapproved use reduce

- Governance does not create unnecessary delivery delay

- Evidence is audit/regulator ready

📌 AI Model Risk & AI Controls Officer (Chennai)
🏢 Santriya Technologies
📍 Chennai