- Santriya Technologies is seeking an AI Recruitment Consultant to deliver end-to-end recruitment for assigned technology and business products using AI for sourcing, market mapping, documentation and workflow efficiency while keeping candidate assessment and hiring recommendations human-led.

- 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:

- Take client briefs and translate product/team documentation into skills, outcomes and realistic candidate criteria.

- Use approved AI search/matching to build talent pools, then personally evaluate relevance, evidence and motivation.

- Conduct structured screening and represent candidates accurately without embellishment.

- Prepare job adverts, outreach and shortlists using AI drafts, ensuring inclusive, factual wording.

- Manage interview, feedback, offer and onboarding workflows in ATS/CRM.





- Advise clients on availability, role design, market conditions and transferable skills using evidence.

- Protect candidate data and do not use prohibited sensitive attributes for matching or decisions.

- Track funnel, diversity/process fairness, time-to-hire, quality and source effectiveness.

- 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-shortlist improves without lower quality

- Candidate/client trust remains high
- ATS data and feedback are complete

- AI supports recruiters rather than making hiring decisions

📌 AI Recruitment Consultant (Chennai)
🏢 Santriya Technologies
📍 Chennai