JPMorgan Chase
Senior Lead Software Engineer-AI Foundation Services
$176K–$260K
Plano, TX +5 · Senior · Full-time · Posted Oct 15, 2026
- Location
- Plano, TX
Jersey City, NJ
Seattle, WA
Palo Alto, CA
Wilmington, DE
McLean, VA - Experience
- 5+ years of applied experience; no alternatives stated.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads hands-on engineering of secure, reliable AI foundation services and reusable platform capabilities for enterprise GenAI and AI/ML workloads.
What you'll do
- Design, build, integrate, and operate production AI/ML platform infrastructure and services.
- Partner with application teams to deliver reusable integrations, implementation assets, and onboarding patterns.
- Improve platform readiness and reliability through security, performance, testing, observability, and production-readiness practices.
What they ask for
- Formal training or certification in 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.
- Experience with AI/ML platform capabilities and cloud-native engineering using Kubernetes, containers, CI/CD, and infrastructure-as-code.
- Programming proficiency in Python, Java, Go, or similar, plus experience with secure engineering, production reliability, and enterprise-authorized AI-assisted development.
Nice to have
- Experience building or integrating GPU-backed model hosting, inference, training, or batch-processing platforms.
- Experience with LLM/model-serving patterns or optimizing AI/ML workloads for latency, throughput, reliability, and cost.
Pay
USD 175,750.00-$260,000.00 base salary (Jersey City, NJ); USD 175,750.00-$260,000.00 base salary (Seattle, WA); USD 175,750.00-$260,000.00 base salary (Palo Alto, CA); USD 175,750.00-$260,000.00 base salary (McLean, VA)
Tools
Kubernetes, containers, CI/CD, infrastructure-as-code, Python, Java, Go, GPU
AI focus
Builds enterprise GenAI and AI/ML foundation services, including model hosting and serving; also leads governed, secure use of AI-assisted software development tools.
Model-written summary · the original posting is authoritative