Senior Lead AI Platform Engineer (GenAI/ML)

Aumni; McLean (VA); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase’s Chief Data & Analytics team seeks a Senior Lead Software Engineer to design and deliver AI foundation services for GenAI and ML at enterprise scale in Jersey City. You will lead hands-on development of secure, cloud-native platform capabilities and partner with application teams to create reusable integrations and onboarding assets.

As a Senior Lead, you will drive architecture, ensure production readiness, and shape governance for AI-assisted engineering practices while

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on experience designing, building, testing, and operating production software systems, distributed services, or platform capabilities.
• Practical experience with AI/ML platform capabilities, model serving, model hosting, data access patterns, platform integrations, or infrastructure services supporting AI/ML workloads.
• Experience developing cloud-native applications or platform services using Kubernetes, containers, CI/CD, infrastructure-as-code, and modern engineering practices.
• Proficiency in programming languages such as Python, Java, Go, or similar, with demonstrated ability to deliver production code.
• Experience translating requirements into technical designs, implementation tasks, and operational support plans.
• Knowledge of performance engineering and production reliability practices, including load testing and monitoring.
• Experience applying secure-by-design engineering practices, access controls, secrets management, vulnerability remediation, and secure data handling.
• Demonstrated experience leading effective use of enterprise AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and data sensitivity considerations.

Responsibilities

• Designs, builds, integrates, and optimizes AI Foundation Services infrastructure components for GenAI and AI/ML platforms with production-quality delivery.
• Partners with Lines of Business application teams to co-develop reusable AI/ML foundational service capabilities and platform adoption patterns.
• Translates LB requirements into clear technical designs, implementation plans, and engineering deliverables.
• Contributes to non-functional requirements, test plans, runbooks, observability, and production readiness reviews to de-risk platform delivery.
• Builds reusable engineering assets such as reference implementations, deployment templates, test harnesses, onboarding guides, and GPU/training baselines.
• Drives adoption and governance of AI-assisted engineering practices, improving code quality, delivery speed, and operational outcomes.
• Applies SDLC toolchain knowledge to improve value realized by automation at scale.
• Implements durable, maintainable code solutions for reuse across teams and platforms.
• Collaborates with product, platform, security, and infrastructure teams to deliver AI Foundation Services aligned to business priorities.
• Participates in design reviews, readiness reviews, incident analysis, and continuous improvement activities.

Skills

Python

Java

Go

AI/ML platforms

Cloud-native

Kubernetes

CI/CD

Secure coding

SRE practices

Tools

Kubernetes

CI/CD

Job description

JPMorganChase’s Chief Data & Analytics team seeks a Senior Lead Software Engineer to design and deliver AI foundation services for GenAI and ML at enterprise scale in Jersey City. You will lead hands-on development of secure, cloud-native platform capabilities and partner with application teams to create reusable integrations and onboarding assets.

As a Senior Lead, you will drive architecture, ensure production readiness, and shape governance for AI-assisted engineering practices while