AI Recruitment Consultant

Santriya Technologies; Chennai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Santriya Technologies seeks 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.

You will translate briefs into candidate criteria, create job adverts with AI drafts, build talent pools using approved tools, and manage interview and onboarding workflows in ATS/CRM, ensuring data privacy and

Responsibilities

• Translate client briefs into candidate criteria and roles.
• Use AI to build talent pools and shortlist candidates.
• Conduct structured screening and present unbiased assessments.
• Create job adverts with AI drafts and inclusive wording.
• Manage interview, feedback, offer, and onboarding workflows in ATS/CRM.
• Advise clients on availability, market conditions, and transferable skills.

Skills

Talent sourcing

Structured screening

AI tooling

Tools

ATS/CRM

Job description

Job Summary

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 escalates conflicts or missing guidance. Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

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.
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• 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