Director of Software Engineering

As a Director of Software Engineering at JPMorgan Chase within the Agent Builder Platform team within the Corporate AI ML Technology Team, you will own the technical vision and delivery of the Agent SDK and the agentic systems it enables.

Job Responsibilities


* Define and drive the technical vision and roadmap for the Agent SDK and long-running agentic workflows.


* Set architectural direction for SDK components, including task orchestration, state management, checkpointing, and retry logic.


* Champion data science rigor by establishing measurement, experimentation, and evaluation frameworks for agent performance.


* Oversee the design and optimization of ML pipelines for training, fine-tuning, and inference of models powering agent intelligence.


* Direct the instrumentation strategy for observability, feedback loops, and continuous improvement of autonomous agents.


* Guide the adoption and extension of agent frameworks, supporting multi-step reasoning, tool use, and multi-agent coordination.


* Build, mentor, and scale a high-performing team of ML engineers, data scientists, and platform engineers.


* Collaborate with engineering, data science, product, and business stakeholders to align the team's roadmap with enterprise AI strategy.


* Serve as the primary technical point of contact for the Agent SDK platform, communicating complex trade-offs to diverse audiences.


* Champion safe, responsible, and compliant agent systems by implementing guardrails and policy enforcement mechanisms.


* Foster a collaborative environment where research insight translates into production impact.

Required Qualifications, Capabilities, and Skills


* 10 years of experience in machine learning engineering, applied data science, or ML platform development.


* 3 years of experience in a leadership role managing teams of engineers and/or data scientists.


* Strong technical depth across the ML and data science stack, including ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn) and LLM serving and fine-tuning toolchains.


* Proven experience designing and delivering SDKs, platforms, or agent development kit, including API design and documentation strategy.


* Expertise in distributed and long-running systems, including state machines, workflow orchestration, checkpointing, and fault-tolerant design.


* Fluency in LLM-based agent architectures, prompt engineering, tool use, and multi-agent coordination patterns.


* Demonstrated ability to craft and drive a technical vision that maximizes business impact and influences decision-making.


* Proven ability to build, mentor, and retain senior technical talent and foster a collaborative team culture.


* Strong foundation in experimental design, statistical analysis, and evaluation methodology.


* Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
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