Director of Applied AI & ML Platform

JPMorganChase; Palo Alto (CA); On-site; USD 250,000 - 350,000; Full time

Job summary

JPMorganChase is seeking an Applied AI/ML Director to lead the Agent Builder Platform team in Corporate Sector. You will design core Agent SDKs, implement production-grade components, and drive adoption across enterprise teams.

You will evaluate GenAI techniques and ensure scalable, secure, and maintainable solutions with strong engineering standards. The role demands 10+ years of ML experience, cloud/Kubernetes expertise, and proven leadership without formal authority.

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 10+ years applied experience.
• 10+ years of hands-on experience building large-scale machine learning systems and platform services used by multiple teams.
• Strong software engineering skills as applied to real-life ML/AI areas, including end-to-end delivery from design through implementation, testing, and operation.
• Extensive experience with machine learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with agentic and generative AI system design, including tool use, planning patterns, retrieval-augmented generation, and evaluation methods.
• Strong experience with cloud and Kubernetes ecosystems, including building and operating production workloads.
• Background in high-performance machine learning systems, including hardware acceleration considerations (GPU optimization).
• Proven ability to influence across teams without formal authority through technical leadership, clear communication, and strong execution.

Responsibilities

• Architect and implement core Agent SDK capabilities and reference implementations, with a strong emphasis on production-ready code
• Build specialized agents and reusable agent components, improving reliability, observability, and evaluation quality over time
• Translate emerging agentic and generative AI techniques into scalable platform features that teams can adopt with minimal friction
• Design and implement evaluation approaches for agent behavior, including quality, robustness, latency, and cost trade-offs
• Develop and optimize model-serving and workflow patterns for agentic systems, including agentic orchestration, harness, tool use, and other advanced constructs.
• Partner with product and engineering stakeholders to align platform capabilities to clear success metrics and prioritized outcomes
• Drive technical decisions by clarifying ambiguity, identifying trade-offs, and producing crisp recommendations and designs
• Improve the agentic platform's performance, accuracy, and efficiency through profiling, bottleneck analysis, and system-level optimization

Skills

Production ML systems

Cross-team leadership

Experimentation & evaluation

End-to-end delivery

Strong software engineering

Education

Advanced degree in CS/ML

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

JPMorganChase is seeking an Applied AI/ML Director to lead the Agent Builder Platform team in Corporate Sector. You will design core Agent SDKs, implement production-grade components, and drive adoption across enterprise teams.

You will evaluate GenAI techniques and ensure scalable, secure, and maintainable solutions with strong engineering standards. The role demands 10+ years of ML experience, cloud/Kubernetes expertise, and proven leadership without formal authority.