Platform Lead, Applied AI/ML & Agent Systems

JPMorgan Chase & Co.; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase seeks an Applied AI/ML Lead to drive production-ready agent platform capabilities and developer tooling. You will set technical direction, mentor engineers, and balance speed with risk and maintainability.

You will partner across product, engineering, risk, and control to align requirements and deliver measurable outcomes. The role emphasizes governance, privacy, and model risk considerations, with a focus on scalable architectures and end-to-end delivery.

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience.
• Demonstrated experience building and operating production software systems that integrate machine learning capabilities.
• Strong programming skills in at least one modern language (Python, Java, or Go) and experience with modern software engineering practices.
• Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or JAX) and model lifecycle tooling.
• Experience designing platforms or shared services used by multiple teams, including clear interfaces, documentation, and developer experience focus.
• Working knowledge of cloud and container orchestration concepts (Kubernetes) and performance or reliability engineering fundamentals.
• Proven ability to lead through influence, drive technical alignment, and deliver outcomes across cross-functional partners.
• Strong problem-solving skills, including ability to clarify ambiguity, evaluate trade-offs, and make sound technical decisions.

Responsibilities

• Define and drive the platform roadmap for agent-based capabilities, focusing on measurable outcomes, reliability, and usability.
• Lead end-to-end delivery of core agent platform components, including software development kits, reference implementations, and integration patterns.
• Partner with product, engineering, risk, and control stakeholders to align requirements, prioritize trade-offs, and unblock execution.
• Establish quality, performance, and operational standards for agent workloads, including monitoring, testing, and incident readiness.
• Translate experimentation into production by driving clear architecture decisions, scalable designs, and repeatable deployment practices.
• Guide responsible development practices by embedding governance, privacy, and model risk considerations into platform design.
• Mentor and develop team members through technical coaching, design reviews, and continuous improvement of engineering practices.
• Communicate technical strategy and progress to senior stakeholders with clarity, data, and pragmatic recommendations.

Skills

AI/ML Experience

Production Systems

Programming (Python/Java/Go)

ML Frameworks (PyTorch, TensorFlow, JX

Platform Design

Cloud & Kubernetes

Leadership by Influence

Problem Solving

Tools

Kubernetes

Job description

JPMorganChase seeks an Applied AI/ML Lead to drive production-ready agent platform capabilities and developer tooling. You will set technical direction, mentor engineers, and balance speed with risk and maintainability.

You will partner across product, engineering, risk, and control to align requirements and deliver measurable outcomes. The role emphasizes governance, privacy, and model risk considerations, with a focus on scalable architectures and end-to-end delivery.