Senior Cloud AI Engineer - AWS, Python and ML

JPMorgan Chase Bank, N.A.; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health care coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Job summary

JPMorgan Chase Bank, N.A. seeks a Senior Lead Software Engineer to drive AWS-native service engineering, automation, and AI integrations. You will lead production-grade solutions, guide best practices, and collaborate across teams to improve delivery speed and reliability.

The role emphasizes secure coding, enterprise tooling, and mentoring engineers while advancing AI-assisted development within a responsible, inclusive culture.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years' applied experience in software engineering.
• Experience building AWS-based service engineering and automation.
• Hands-on cloud-native system design with IaC and CI/CD.
• Proficient in Java or Python and AI/ML integrations.
• Experience leading production-grade AI/ML solutions.

Responsibilities

• Design, build, and operate AWS-native service engineering solutions.
• Develop secure, production-grade automation and AI integrations.
• Promote enterprise-approved AI-assisted engineering practices.
• Apply SDLC tools to improve automation value and reliability.
• Lead evaluations with external teams to inform architecture.
• Foster communities of practice and diversity within software teams.

Skills

Java or Python

AI/ML integration

Mentoring teams

Cloud-native design

Secure coding practices

Education

Formal software engineering training

Tools

LangChain

LangGraph

Auto-GPT

TensorFlow

PyTorch

Scikit-Learn

Job description

JPMorgan Chase Bank, N.A. seeks a Senior Lead Software Engineer to drive AWS-native service engineering, automation, and AI integrations. You will lead production-grade solutions, guide best practices, and collaborate across teams to improve delivery speed and reliability.

The role emphasizes secure coding, enterprise tooling, and mentoring engineers while advancing AI-assisted development within a responsible, inclusive culture.