JPMorgan Chase
Sr Lead Software Engineer - AWS - Lead AI/ML Platform Engineer
$176K–$260K
Jersey City, NJ +1 · Senior · Full-time · Posted Sep 22, 2026
- Location
- Jersey City, NJ
Seattle, WA - Experience
- 5+ years applied experience; industry platform engineering experience leading large-scale infrastructure delivery.
- Education
- Formal training or certification on software engineering concepts.
About the job
Architects, builds, and operates AWS infrastructure and APIs for a firmwide AI/ML deployment platform, including multi-region model deployment, monitoring, and disaster recovery.
What you'll do
- Drive architecture and implementation of platform components, APIs, and infrastructure for model deployment, retraining, scheduling, and autoscaling.
- Work directly with clients on requirements, solution design, and debugging; make architectural decisions and guide technical teams.
- Promote approved AI-assisted engineering practices, governance, and validation standards across teams.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Industry experience as a platform engineer leading large-scale platform infrastructure delivery.
- Deep AWS expertise; strong Golang or Python proficiency; advanced Terraform and HCL skills; production Kubernetes/EKS experience; and hands-on AWS Sagemaker experience.
- Strong DevOps and CI/CD experience, plus demonstrated leadership in responsible, enterprise-authorized AI-assisted software development.
Nice to have
- LLM benchmarking, evaluation, and performance optimization; greenfield architecture experience.
- Cloud-native security expertise or industry-recognized certifications such as AWS Solutions Architect or AWS DevOps Engineer.
Pay
$175,750.00-$260,000.00 USD base salary (Jersey City, NJ); $175,750.00-$260,000.00 USD base salary (Seattle, WA)
Tools
AWS, Golang, Python, Terraform, HCL, Kubernetes, EKS, AWS Sagemaker
AI focus
Builds infrastructure for AI/ML model deployment and inference; promotes governed, validated AI-assisted software engineering practices. LLM benchmarking and optimization are preferred.
Model-written summary · the original posting is authoritative