Lead Python AI Engineer for GenAI & ML Platforms

JPMorgan Chase & Co.; Plano (TX); Hybrid; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. seeks an experienced engineer to lead design and delivery of scalable ML-powered services. You will architect resilient microservices, integrate with enterprise systems, and drive AI-assisted practices across teams.

You will mentor developers, collaborate with architects and DBAs, productionalize ML models, and ensure secure, auditable delivery in a fast-paced environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience; hands-on design and operations.
• Deep distributed-systems engineering with Python/Java; modern microservices in production.
• Strong Python experience for AI/ML engineering including tooling, monitoring, and governance.
• Experience leading AI-assisted software development tools and setting validation expectations.
• Knowledge of secure coding, resiliency, and enterprise-grade SDLC practices.
• Proficiency in Linux environments and Kubernetes orchestration for production services.
• Experience with Kafka or similar messaging, and observability tools like ELK or Splunk.
• API design with REST and service-oriented architectures; strong communication and cross-stakeholder influence.
• AI/ML platform exposure including MLOps, feature engineering, and model hosting.

Responsibilities

• Architect and deliver scalable, low-latency services; drive target-state architecture.
• Design and deploy services with enterprise integration, ensuring security, governance, and auditability.
• Lead and mentor development teams; manage multiple deliverables across groups.
• Collaborate with LOB users, SMEs, architects, DBAs, and admins to design solutions and resolve issues.
• Mature ML pipelines for fraud detection and risk assessment; support modeling teams.
• Productionalize models with validation readiness and quality controls for live use.
• Promote AI-assisted engineering practices and standardized validation across the team.
• Utilize SDLC tools, automations, and governance to improve automation value.
• Own reusable ML platform components and establish monitoring for performance and reliability.
• Build agentic AI services to automate engineering/workflow tasks and ensure traceability.
• Define guardrails and evaluation approaches for agentic AI in production.

Skills

Python

Java

Kubernetes

Linux

AI/ML

REST APIs

Distributed systems

CI/CD

Security

Mach Learn Ops

Tools

Kafka

ELK

Splunk

NoSQL Cassandra

Job description

JPMorgan Chase & Co. seeks an experienced engineer to lead design and delivery of scalable ML-powered services. You will architect resilient microservices, integrate with enterprise systems, and drive AI-assisted practices across teams.

You will mentor developers, collaborate with architects and DBAs, productionalize ML models, and ensure secure, auditable delivery in a fast-paced environment.