Drimva

JPMorgan Chase

Senior Lead Software Engineer-AI Foundation Services

$176K–$260K

Plano, TX +5 · Senior · Full-time · Posted Jul 14, 2026

Location
Plano, TX
Jersey City, NJ
Wilmington, DE
McLean, VA
Seattle, WA
Palo Alto, CA
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 optimize production AI/ML platform infrastructure and services.
  • Partner with application teams to deliver reusable integrations, reference implementations, onboarding assets, and operational readiness.
  • Promote approved AI-assisted engineering practices with validation standards for quality, security, and reliability.

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.
  • Experience with production reliability and secure-by-design practices, and leading compliant use of enterprise-authorized AI-assisted development tools.

Nice to have

  • Experience building or integrating GPU-backed model hosting, inference, training, or batch platforms.
  • Experience with LLM/model serving patterns or optimizing AI/ML workloads for performance, 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 (McLean, VA); USD 175,750.00-$260,000.00 base salary (Seattle, WA); USD 175,750.00-$260,000.00 base salary (Palo Alto, CA)

Tools

Kubernetes, containers, CI/CD, infrastructure-as-code, Python, Java, Go, GPU

AI focus

Builds GenAI and traditional AI/ML platform services, including model hosting and serving; also leads approved AI-assisted software development practices with safeguards for correctness, security, and responsible use.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)