- Santriya Technologies is seeking an AI Talent Sourcing Specialist to build high-quality talent pipelines using AI-assisted search, market mapping and outreach while validating candidate evidence and respecting privacy and fair-hiring principles.

- 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:
- Translate job requirements into skill, title, company, domain and transferable-experience search hypotheses.

- Use approved AI and search tools to discover candidates and adjacent talent pools, reviewing results manually.

- Create personalized outreach from factual profile information without fabricating familiarity.

- Tag and maintain candidate skills, availability, location and engagement accurately in ATS/CRM.

- Identify scarcity,



compensation or location constraints and propose evidence-based alternatives.

- Avoid inferring protected or sensitive characteristics from names, images or profiles.

- Track response, conversion and source-quality metrics.

- Build reusable talent maps for banking, fintech, e-commerce, property, travel, AI and engineering domains.

- 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:

- Relevant pipeline depth increases
- Response and shortlist conversion improve

- Search time reduces
- Candidate data remains accurate and privacy-compliant

📌 AI Talent Sourcing Specialist (Chennai)
🏢 Santriya Technologies
📍 Chennai