Lead AI Platform Engineer for GenAI & ML

Aumni; McLean (VA); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Lead Software Engineer to build AI foundation services for GenAI and ML at enterprise scale. You will lead secure, cloud-native platform capabilities (Kubernetes/CI/CD/IaC) and partner with teams to deliver reusable integrations, reference implementations, and onboarding assets.

You will contribute to an agile team delivering trusted, scalable technology products and apply deep technical expertise to tackle diverse challenges across AI and software platforms.

Qualifications

• Formal software engineering training and 5+ years of applied experience.
• Strong hands-on coding in Python, Java, or Go with production-grade services.
• Experience building shared services and cloud-native delivery pipelines.

Responsibilities

• Partner with business teams to implement AI foundation services for GenAI use cases.
• Develop reusable platform services, APIs, SDKs, and libraries for model hosting and inference.
• Translate requirements into designs, tasks, and milestones with engineering support.
• Write production-grade, secure code and participate in reviews and testing.
• Create onboarding guides, runbooks, and reference implementations to accelerate adoption.
• Advance enterprise AI engineering practices, standardizing validation and tooling.

Skills

Python/Java/Go

Secure coding

AI/ML foundation

Communication

Education

Formal software engineering training

Tools

Terraform

Kubernetes

CI/CD

IaC

Job description

JPMorganChase in Jersey City seeks a Lead Software Engineer to build AI foundation services for GenAI and ML at enterprise scale. You will lead secure, cloud-native platform capabilities (Kubernetes/CI/CD/IaC) and partner with teams to deliver reusable integrations, reference implementations, and onboarding assets.

You will contribute to an agile team delivering trusted, scalable technology products and apply deep technical expertise to tackle diverse challenges across AI and software platforms.