AI Client Onboarding & KYC Manager (Chennai)

- Santriya Technologies is seeking an AI Client Onboarding & KYC Manager to lead institutional client onboarding and periodic review using AI-assisted document extraction, workflow orchestration and risk triage, while retaining human approval and accountable client communication. - 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: - Own onboarding/refresh cases across legal entity, KYC, tax, product, credit and documentation dependencies. - Use AI to extract/compare documents and summarize gaps, validating against originals and policy. - Coordinate client, front office, compliance, legal, tax, credit and operations stakeholders. - Prioritize cases by client need, risk, ageing and dependency. - Review complex ownership, jurisdiction and product structures and escalate where specialist judgement is required. - Maintain transparent evidence, approval and exception trails. - Track turnaround, rework, document expiry and bottleneck metrics. - Improve onboarding playbooks and knowledge based on recurring delays. - 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: - Client onboarding cycle time improves - Rework and document errors reduce - High-risk cases receive appropriate scrutiny - Stakeholder visibility and audit evidence improve .