Job Description

Generative artificial intelligence is reshaping how we serve clients and run the firm. In the Chief Data and Analytics Office, you will lead the delivery of enterprise-grade generative artificial intelligence products and platforms with strong governance and controls. You will partner across machine learning, cloud engineering, and site reliability engineering to ship resilient solutions with clear return on investment. This is a hands-on leadership role for someone who enjoys building at scale and operating in real production environments.

As a Lead, Generative AI Engineering in the Chief Data and Analytics Office, you will lead the design, delivery, and continuous improvement of production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will guide technical direction from experimentation through production hardening, ensuring reliability, scalability, performance, and responsible artificial intelligence controls. You will work closely with cross-functional partners to define measurable outcomes and drive execution against them. You will mentor engineers and raise the bar on engineering excellence and operational rigor.

Job responsibilities

• Lead the design and delivery of production generative artificial intelligence products and reusable backend application programming interfaces for firmwide adoption
• Architect scalable systems that combine large enterprise datasets with large language and multimodal models
• Set technical direction for model-enabled services, including quality, latency, throughput, and cost targets
• Partner with cloud engineering and site reliability engineering teams to deliver resilient architectures, observability, and operational readiness
• Drive translation of research concepts into production-ready capabilities through evaluation, iteration, and hardening
• Establish engineering standards for reliability, security, and responsible artificial intelligence controls across the product lifecycle
• Own delivery planning and execution, including risks, dependencies, and stakeholder communication
• Define and manage objectives and key results aligned to business outcomes, adoption, and return on investment
• Mentor and develop engineers through coaching, technical reviews, and role modeling best practices
• Troubleshoot critical production issues, lead root-cause analysis, and implement long-term preventative improvements

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience
• 7+ years of experience in machine learning engineering and/or applied software engineering delivering production systems
• 3+ years of technical leadership experience, including leading delivery for complex cross-functional initiatives
• Demonstrated experience owning enterprise machine learning services, including reliability, incident management, and service-level outcomes
• Strong fundamentals in statistics, optimization, and machine learning theory with applied expertise in natural language processing and/or computer vision
• Hands-on experience implementing distributed, multi-threaded, scalable systems (for example Ray, Horovod, or DeepSpeed)
• Proven ability to design and scale service-oriented architectures and application programming interfaces with high availability and performance requirements
• Experience defining success metrics and writing clear objectives and key results aligned to business expectations
• Strong judgment to align technical decisions with governance, risk, and control requirements for responsible artificial intelligence
• Excellent communication and stakeholder management skills, with ability to influence across senior technical and business audiences

Preferred qualifications, capabilities, and skills

• Experience designing and implementing machine learning pipelines using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)
• Experience building batch and streaming microservices exposed via gRPC and/or GraphQL
• Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models
• Experience with multimodal large language model use cases (text plus image, speech, or video)
• Experience with advanced prompting and reasoning approaches such as chain-of-thought, tree-of-thought, or graph-of-thought
• Experience establishing evaluation frameworks and production monitoring for model quality, safety, and drift
• Experience building reusable platforms that enable other teams to ship model-enabled products faster.

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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 for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans