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Sr Lead Software Engineer - Agentic AI solutions

JPMorganChase

Salary not specified
Dec 18, 2025
Columbus, OH, US
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JPMorgan Chase is looking to enhance, build, and deliver top-notch technology products, specifically in the area of Agentic AI solutions, to drive integration and synergy across Community and Consumer Banking (CCB) developer efficiency initiatives, resulting in faster product feature rollouts with enhanced stability and quality.

Requirements

  • Solid background in Generative/Agentic AI personalization and hands-on expertise in applying machine learning and deep learning methods across PDLC phases
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Extensive practical experience with cloud-native applications, Object-Oriented principles, microservice-driven architecture, REST architectural style, and RESTful APIs
  • Hands-on expertise in one or more modern programming languages and cloud platforms like Java/JavaScript/Python on AWS/Pivotal Cloud Foundry/GCP/Azure using Kubernetes
  • Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)

Responsibilities

  • Utilize expertise in deep learning, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and agentic workflows to develop cutting-edge solutions that drive integration and synergy across CCB developer efficiency initiatives
  • Provide leadership on Agentic AI initiatives, ensuring efficient resource allocation, compliance with data regulations, and risk minimization to maximize efficiency
  • Lead the design and development of robust, scalable, high-performing Agentic AI solutions across PDLC, while effectively communicating technical concepts and solutions at all organizational levels
  • Work closely with product management and cross-functional forums (AI4Tech CoEs & CoPs) to define roadmaps and deliverables for AI-driven developer features and capabilities
  • Drive the adoption of best practices in software engineering, machine learning operations (MLOps), and data governance, ensuring compliance with data privacy and security regulations

Other

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Strong written and spoken communication skills to effectively convey technical concepts and results to both technical and business audiences
  • Curious, detail-oriented, and motivated by complex technical problems
  • Equal Opportunity Employer/Disability/Veterans
  • We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success