AI Talent Sourcing Specialist

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 elevate conflicts or missing guidance.

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

• 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.

• 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.

• 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.

• Relevant pipeline depth increases
• Response and shortlist conversion improve
• Search time reduces
• Candidate data remains accurate and privacy-compliant