Lead GenAI/ML Engineer — AI-Driven Backend

JPMorgan Chase

Palo Alto (CA)

On-site

USD 152,000 - 215,000

Full time

14 days+

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Job summary

JPMorganChase in Palo Alto is seeking a Lead Software Engineer to join the Enterprise Technology, Infrastructure Platforms team. You will lead AI-assisted engineering practices, own backend services in Python/Java, and drive capacity analytics with scalable automation.

You will mentor engineers, design GenAI solutions, and govern end-to-end AI/ML optimization strategy across cross-functional teams, ensuring security and reliability across systems.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced in one or more programming language(s).
  • Demonstrated experience leading effective use of approved AI-assisted software development tools with validation of outputs.
  • Strong understanding of responsible AI use in engineering workflows with security considerations.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Deep distributed systems and production engineering across APIs, microservices, CI/CD, containers/Kubernetes, security.

Responsibilities

  • Executes creative software solutions with design, development and troubleshooting.
  • Drives enterprise AI-assisted engineering practices to improve code quality and delivery speed.
  • Applies SDLC tools and automation to improve value realization.
  • Own infrastructure capacity optimization and build predictive models for capacity risk.
  • Design and productionize GenAI/agentic AI solutions for automation and decision support.
  • Engineer production-grade backend services in Python/Java and manage data pipelines.
  • Build prompt engineering assets and guardrails with automated plus human-in-the-loop evaluation.
  • Identify and automate remediation of recurring issues to improve stability.
  • Apply MLOps practices across experimentation, CI/CD, deployment, monitoring, and governance.
  • Lead end-to-end AI/ML optimization strategy and govern alignment with stakeholders.
  • Lead evaluation sessions with vendors and internal teams on architectural designs.

Skills

System design
Software development lifecycle
AI-assisted engineering practices
Team leadership

Education

Formal training/certification in software engineering

Tools

Python
Java
Apache Spark
Apache Airflow
Apache Iceberg
Kubernetes

Job description

JPMorganChase in Palo Alto is seeking a Lead Software Engineer to join the Enterprise Technology, Infrastructure Platforms team. You will lead AI-assisted engineering practices, own backend services in Python/Java, and drive capacity analytics with scalable automation.

You will mentor engineers, design GenAI solutions, and govern end-to-end AI/ML optimization strategy across cross-functional teams, ensuring security and reliability across systems.

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