AI Client Onboarding & KYC Manager

Santriya Technologies; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

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.

This role focuses on coordinating with legal, compliance, tax and front-office teams to ensure accurate data capture, evidence trails, and timely fulfillment of onboarding requirements, with a strong emphasis on

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 elevate where specialist judgement is required.
• Maintain clear evidence, approval and exception trails.
• Track turnaround, rework, document expiry and bottleneck metrics.
• Improve onboarding playbooks and knowledge based on recurring delays.

Job description

Job Summary

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 elevate 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 elevate where specialist judgement is required.
• Maintain clear 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