AI Banking Customer Operations Specialist
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Business
Job Description & How to Apply Below
Santriya Technologies is seeking an AI Banking Customer Operations Specialist to deliver digital banking servicing using AI agent assist, product knowledge and controlled workflows for cards, payments, accounts and customer requests, keeping human judgement central to customer protection.
Product & documentation operating modelYou 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.
- Handle account, card, payment and servicing requests within role permissions and documented procedures.
- Use AI to retrieve product/policy information, summarize history and propose next steps; validate against current documentation and live account data.
- Recognize and escalation fraud, scam, vulnerability, complaint, financial difficulty and regulatory triggers.
- Complete maker-checker, authentication and evidence requirements for sensitive actions.
- Explain outcomes transparently and avoid presenting AI inference as bank policy.
- Maintain high-quality case notes and reason codes for audit and analytics.
- Identify product or knowledge gaps from recurring contacts.
- Support controlled testing of new AI-assisted workflows and report unsafe or inaccurate outputs.
- 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.
Success Measures- Resolution and servicing accuracy improve
- Customer protection triggers are handled correctly
- Repeat contacts and avoidable escalations reduce
- Audit evidence remains complete
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