- 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 demand, supply, availability, skills, location and assignment data for delivery teams.

- Use AI matching to surface potential resources, then validate experience, availability, conflicts and development fit.

- Coordinate staffing decisions with delivery leaders, recruitment and finance.

- Forecast capacity gaps, bench risk and critical-skill shortages and trigger action early.

- Track utilization, assignment end dates, extensions and onboarding dependencies.

- Ensure staffing decisions consider fairness and do not use prohibited sensitive attributes.





- Maintain evidence for prioritization and exception decisions.

- Improve skills data and role profiles from delivery outcomes.

- 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:
- Time-to-staff and utilization improve

- Critical skills gaps are visible earlier

- Staffing decisions are explainable

- Assignment data quality improves

📌 AI Delivery & Resource Manager (Chennai)
🏢 Santriya Technologies
📍 Chennai