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Tier-1 bank and Gurugram metro increase competition, but niche Copilot/GenAI skillset limits applicant pool.
Strong banking model governance, Copilot Studio and Power Platform experience emphasize industry-specific fit and reduce transferability.
Specific Copilot Studio, Power Platform, LLM orchestration, and regulated model governance make shortlisting highly strict.
Design, build, and deploy enterprise-grade Generative AI agents and workflows using Microsoft 365 Copilot, Copilot Studio, and Power Platform, embedding governance and quality controls.
Collaborate with business, product, engineering, and data science teams to translate complex banking problems into production-ready AI and automation solutions.
Own the end-to-end delivery and ongoing support of GenAI capabilities, including integration with Power Apps and line-of-business applications, ensuring compliance with regulatory and enterprise risk policies.
Strong expertise in designing and publishing custom Copilot agents using Copilot Studio, including prompt engineering and multi-turn conversation design.
Experience with Power Platform automation tools such as Power Automate, AI Builder, and integration with Power Apps.
Degree in a quantitative or technical discipline (e.g., Computer Science, Engineering, Mathematics, Statistics).
Work Experience Required: Not explicitly mentioned in the JD; Role is based in Gurugram (onsite requirement).
Demonstrated ability to translate business and banking domain problems into scalable, production-grade GenAI and automation solutions within regulated environments.
Experience working across global teams and with senior stakeholders in Investment Banking or Capital Markets to deliver AI-enabled business outcomes.
Familiarity with LLM orchestration frameworks, retrieval-augmented generation (RAG) pipelines, CI/CD pipelines, containerization, and model risk management is advantageous.