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Lead Software Engineer - GenAI, AWS, Java/Python

JPMorganChase

Salary not specified
Sep 6, 2025
Jersey City, NJ, US
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JPMorgan Chase is looking to promote the progress and application of state-of-the-art AI technologies within the Asset and Wealth Management division

Requirements

  • Minimum 5+ years of strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch
  • One year of experience in generative AI development and prompt engineering
  • Proven experience in system design, application development, testing, and operational stability in AI projects
  • Minimum of 3+ years of strong experience with React or Angular
  • 2+ years of AWS experience is a must-have
  • Experience with LLM models and agentic tools
  • Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects

Responsibilities

  • Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives
  • Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies to enhance AI capabilities
  • Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch
  • Utilize experience with React or Angular to create intuitive user interfaces for AI applications
  • Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects
  • Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems
  • Work closely with cross-functional teams to contribute to the evaluation and refinement of architectural designs for AI systems, ensuring scalability and robustness

Other

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Support a team culture of diversity, opportunity, inclusion, and respect, fostering an environment conducive to innovative AI development
  • Engage in communities of practice to stay updated on new generative AI technologies, fostering a culture of continuous innovation
  • Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications
  • Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning