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Tier-1 brand, mid-level AI product title, metro location and broad GenAI engineering requirements amplify competition.
Role values financial-services experience and model-risk knowledge, though core AI/product skills are transferable across industries.
Numerous mandatory technical, governance and leadership requirements imply stringent screening and technical vetting.
Own and prioritize the product backlog to maximize business value aligned with organizational goals.
Act as primary liaison between stakeholders and delivery teams, communicating product vision and managing agile processes.
Drive product roadmap execution, continuous improvement, and monitor product performance including risk and control management.
Experience Requirement: Not explicitly mentioned in the JD; however, demonstrated technical and leadership experience suggested.
Bachelor’s degree in Computer Science, Information Technology or Engineering is mandatory.
Must have strong proficiency in Python with experience in Generative AI frameworks (LangChain, LangGraph, CrewAI etc.) and familiarity with Large Language Models (LLMs) and agentic frameworks.
Location Requirement: Role is based in Pune, India.
Strong technical leader with experience in managing AI/ML engineering teams and hands-on expertise with AWS ML ecosystem (Bedrock, SageMaker, Lambda).
Experience working on large-scale AI/ML systems including prompt engineering, vector databases (DynamoDB, PGVector, FAISS, etc.), and cloud-native architectures.
Ability to engage and influence stakeholders, demonstrate strategic thinking, and manage risk and controls in a financial services environment.