Applied AI ML Director

At the heart of JP Morgans AI transformation is the Chief Analytics Office (CAO) the team responsible for driving the firmwide adoption of artificial intelligence and advanced analytics. The CAO leads the strategy governance and delivery of AI/ML products across the company ensuring that innovation is balanced with responsibility security and ethical best practices. By overseeing the build adoption and maintenance of AI solutions the CAO empowers every line of business to leverage AI/ML at scale and unlock new value for clients and stakeholders.

As a Generative AI Executive Director within our CAO organization youll be at the forefront of building and optimizing production-grade LLM systems (LLM Suite) that serve hundreds of thousands of professionals every day. Youll architect and scale robust reusable APIs and agentic workflows that process millions of documents and automate complex financial tasks. Collaboration is key: youll work closely with teams across ML Engineering Product Management and Cloud Engineering to deliver solutions that are measured budgeted and built for real business impact.

Your technical decisions will directly shape how JP Morgan leverages AI at enterprise scale. Youll ensure LLM Suite is designed for reliability scalability and performance enabling other teams to build on top of our infrastructure and accelerate innovation firmwide. This is not a research sandbox; its production infrastructure with executive visibility and measurable ROI.

If youre ready to lead engineering teams ship production AI and make decisions that influence the future of financial technology we invite you to join us and help define the next era of enterprise AI at JP Morgan.

Job Responsibilities

• Architect and deliver production LLM based systems (text image speech video) powering mission-critical LLM Suite products.

• Own end-to-end delivery performance and continuous improvement of individual LLM Suite products.

• Bridge advanced AI research with robust engineering to build innovative production-ready solutions.

• Drive results with an entrepreneurial mindset in a fast-paced high-impact environment.

Required qualifications capabilities and skills

• PhD or equivalent experience in Computer Science Mathematics Statistics or a related quantitative discipline.

• Extensive hands-on experience as an individual contributor in ML engineering with a proven track record of shipping production AI systems.

• Deep expertise in NLP Computer Vision and/or Multimodal LLM algorithms with a strong foundation in statistics optimization and ML theory.

• Practical experience implementing distributed multi-threaded and scalable applications using frameworks such as Ray Horovod DeepSpeed etc.

• Exceptional communication skills able to convey complex technical concepts and build trust with stakeholders at all levels.

Preferred qualifications capabilities and skills

• Advanced proficiency in designing and deploying production ML pipelines using DAG frameworks including custom operator development and pipeline optimization.

• Expertise in architecting and implementing high-throughput low-latency microservices with gRPC REST and GraphQL including protocol buffer schema design streaming endpoints and load balancing.

• Hands-on experience with parameter-efficient fine-tuning (LoRA QLoRA IA3) model quantization (INT8 FP16 GPTQ) and quantization-aware training for LLMs at scale.

• Deep knowledge of distributed training strategies (data/model/pipe parallelism) memory optimization and inference acceleration for large-scale multimodal models.

• Experience with advanced agentic workflow orchestration including multi-agent coordination stateful task management and integration with enterprise event-driven architectures.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries.

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