
Applied AI ML Director
Palo Alto, CAFull-time$223–325K/yrSeen todaySeen in employer's feed today
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Job overview
The Applied AI ML Director role sits within JPMorgan Chase’s Chief Analytics Office, which drives firmwide adoption of AI and advanced analytics. The position focuses on building and optimizing production-grade LLM systems, reusable APIs, and agentic workflows for enterprise use. It leads delivery of reliable, scalable AI infrastructure and works across ML Engineering, Product Management, and Cloud Engineering to support measurable business impact.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Applied AI ML Director
Palo Alto, CA, United States
Job Information
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Job Identification 210804337
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Job Category Predictive Science
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Business Unit Corporate Sector
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Posting Date 11/03/2026, 05:56 PM
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Locations 3223 Hanover St, Palo Alto, CA, 94304, US
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Job Schedule Full time
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Base Pay/Salary Palo Alto,CA $223,000.00-$325,000.00
Job Description
At the heart of JP Morgan’s 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, you’ll be at the forefront of building and optimizing production-grade LLM systems (LLM Suite) that serve hundreds of thousands of professionals every day. You’ll architect and scale robust, reusable APIs and agentic workflows that process millions of documents and automate complex financial tasks. Collaboration is key: you’ll 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. You’ll 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; it’s production infrastructure with executive visibility and measurable ROI.
If you’re 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
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Architect and deliver production LLM based systems (text, image, speech, video) powering mission-critical LLM Suite products.
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Own end-to-end delivery, performance, and continuous improvement of individual LLM Suite products.
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Bridge advanced AI research with robust engineering to build innovative, production-ready solutions.
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Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment.
Required qualifications, capabilities, and skills
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PhD or equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline.
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Extensive hands-on experience as an individual contributor in ML engineering, with a proven track record of shipping production AI systems.
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Deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory.
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Practical experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, DeepSpeed, etc.
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Exceptional communication skills, able to convey complex technical concepts and build trust with stakeholders at all levels.
Preferred qualifications, capabilities, and skills
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Advanced proficiency in designing and deploying production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization.
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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.
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Hands-on experience with parameter-efficient fine-tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization-aware training for LLMs at scale.
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Deep knowledge of distributed training strategies (data/model/pipe parallelism), memory optimization, and inference acceleration for large-scale multimodal models.
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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 JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.
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About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
How this job compares
Set against the 832 open Artificial Intelligence jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$223–325K/yr
- California median$184–294K/yr87 salary ranges
- US median$144–235K/yr542 salary ranges
This range's midpoint, $274K, is 11% above the California median midpoint ($247K) — in the middle half of Artificial Intelligence salary ranges in California.
- Openings
- Olive Jobs lists 115 open Artificial Intelligence jobs in California and 832 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Capital One10 open
- NVIDIA10 open
- Deloitte7 open
- Experience
- Artificial Intelligence postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 4 to 10 years (573 postings).
- Education
- 271 of the 832 open Artificial Intelligence jobs (33%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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