AI Platform Engineer, Python - Lead Software Engineer

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

JPMorgan Chase & Co. within the Chief Data and Analytics Office is seeking a Lead Software Engineer to be a core technical contributor. You will design, develop, and deliver trusted AI-powered products in a secure, scalable way across multiple business functions.

The role emphasizes leading AI-assisted engineering practices, compliance, and automated testing while building features with Bedrock, Foundry, or Vertex AI and collaborating with vendor teams.

Qualifications

• 5+ years of applied software engineering experience.
• Proficient in Python and SDLC practices.
• Experience with CI/CD, cloud platforms, and containerization.
• Ability to lead AI-assisted development initiatives.
• Strong security and compliant coding practices.

Responsibilities

• Execute AI-enabled software solutions and design new features.
• Develop secure, high-quality production code and review SDKs.
• Lead adoption of enterprise AI-assisted engineering practices to improve quality and speed.
• Use SDLC toolchain and AI-assisted development and automation capabilities.
• Identify and automate remediation to improve reliability of AI features.
• Lead evaluation sessions with vendors and internal teams on model capabilities.
• Lead communities of practice for prompt engineering and SDK best practices.
• Promote diversity, inclusion, and respect within the team.
• Build and ship AI-powered features using Bedrock / Foundry / Vertex AI and integrations.
• Implement input/output safety and LLM usage logging/monitoring.

Skills

Python

CI/CD

Cloud platforms

AI-assisted development

Test automation

Leadership

Security

Software design

Education

Certificate in Software Engineering

Tools

Terraform

Job description

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.

Job responsibilities

• 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.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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)..

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• DevOps: 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
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• 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.
  

Preferred qualifications, capabilities, and skills

• Terraform is a plus