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    Home/Jobs/Agent Platform Engineer

    Agent Platform Engineer

    JPMorganChase

    Hyderabad
    5+ years
    2 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    LLM
    LangChain
    RAG
    Vector Database
    Python
    Agent Studio
    SmartSDK
    MCP SDK
    async patterns
    SDK extension
    framework-level engineering
    agent frameworks
    embedding models

    Description

    Leverage problem-solving skills in a fast-paced environment, drive customer-centric strategies, and lead product innovation as a Product Manager (Vice President) for Fusion Data Platform at JPMorganChase.

    Company: JPMorganChase

    Role: Product Manager (Vice President) - Fusion Data Platform

    Location: Hyderabad, Telangana, India

    Experience:

    • 5+ years of experience or equivalent expertise in problem-solving across multiple teams and a cluster of products
    • 5+ years of software engineering experience, with at least 3 years focused on AI/ML systems, GenAI application development, or agent-based architectures in production
    • Extensive experience working in a sales cycle and engaging with clients on a regular basis
    • Demonstrated prior experience working in a highly matrixed and complex organization

    Qualification:

    • Strong Python fluency
    • Hands-on experience building agents or agentic workflows
    • Working knowledge of LLM APIs and agent frameworks
    • Ability to architect systems at the component level
    • Comfortable operating in complex enterprise environments with governance, compliance, and model risk constraints
    • Strong written and verbal communication

    Role Focus:

    • Leads solutioning and the adoption of existing and upcoming client-facing products and capabilities
    • Serves as a subject matter expert on a defined set of products and capabilities
    • Supports Sales in pricing, pipeline planning, account planning, and upskilling the team on product knowledge
    • Engages with client teams to better understand pain points and refine solutions
    • Design and build production-grade AI agents using Agent Studio, SmartSDK, RAG SDK, and MCP SDK
    • Partner directly with LoB (Line of Business) engineering teams in Forward Deployed Engineering engagements
    • Architect multi-agent systems
    • Develop and maintain reference implementations and SDK playbooks

    Nice to have:

    • Direct experience with MCP (Model Context Protocol)
    • Experience in regulated industries
    • Familiarity with agent security concerns
    • Experience building evaluation frameworks for LLM-based systems
    • Exposure to cloud-native AI infrastructure
    • Experience contributing to developer-facing SDK or platform tooling
    • Familiarity with responsible AI practices as they

    More skills:

    AI/ML systems, GenAI application development, agent-based architectures, LLM APIs, agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or equivalent), chunking strategy, retrieval evaluation, production monitoring

    Other:

    • JPMorganChase offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients
    • We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success
    • We are an equal opportunity employer and place a high value on diversity and inclusion at our company

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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