AI Platform Engineer, Python - Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

• Execute creative software solutions, design, development, and technical troubleshooting for AI‑enabled applications.
• Develop secure, high‑quality production code; review and debug SDK and service integrations.
• Identify and automate remediation of recurring issues to improve reliability of AI features and services.
• Lead evaluation sessions with vendors and internal teams on model capabilities, safety, and integration patterns.
• Lead communities of practice to share prompt engineering, evaluation methods, and SDK best practices.
• Add to team culture of diversity, opportunity, inclusion, and respect.
• Build and ship AI‑powered features using AI (Bedrock or Foundry or Vertex AI), including prompt design, function calling, and SDK/REST integrations (no prior experience required).
• Implement input/output safety (guardrails, moderation) and comprehensive LLM usage logging/monitoring (no prior experience required)..

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Dev Ops: CI/CD pipelines, infrastructure as code, containerization/orchestration, observability, and cloud platforms.
• Hands‑on experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in Python software engineering skills
• Proficiency in automation and continuous delivery methods; strong unit/integration testing discipline.
• Proficient in all aspects of the Software Development Life Cycle and secure coding practices.
• Advanced understanding of CI/CD, application resiliency, and security for AI applications.
• Practical cloud‑native experience.

• Terraform is a plus