Applied AI ML Lead

JPMorgan Chase & Co.; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase seeks an Applied AI/ML Lead in Seattle to drive production-grade agent capabilities and developer tooling. You will set technical direction, mentor engineers, and partner with product, risk, and control teams to balance speed with risk.

You will lead platform roadmap and end-to-end delivery of core components, ensuring scalable, reusable solutions that unlock measurable business value across the firm.

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
• Demonstrated experience building and operating production software systems that integrate machine learning capabilities
• Strong programming skills in at least one modern language (for example, Python, Java, or Go) and experience with modern software engineering practices
• Hands-on experience with machine learning frameworks (for example, PyTorch, TensorFlow, or JAX) and model lifecycle tooling
• Experience designing platforms or shared services used by multiple teams, including clear interfaces, documentation, and developer experience focus
• Working knowledge of cloud and container orchestration concepts (for example, Kubernetes) and performance or reliability engineering fundamentals
• Proven ability to lead through influence, drive technical alignment, and deliver outcomes across cross-functional partners
• Strong problem-solving skills, including ability to clarify ambiguity, evaluate trade-offs, and make sound technical decisions

Responsibilities

• Define and drive the platform roadmap for agent-based capabilities, focusing on measurable outcomes, reliability, and usability
• Lead end-to-end delivery of core agent platform components, including software development kits, reference implementations, and integration patterns
• Partner with product, engineering, risk, and control stakeholders to align requirements, prioritize trade-offs, and unblock execution
• Establish quality, performance, and operational standards for agent workloads, including monitoring, testing, and incident readiness
• Translate experimentation into production by driving clear architecture decisions, scalable designs, and repeatable deployment practices
• Guide responsible development practices by embedding governance, privacy, and model risk considerations into platform design
• Mentor and develop team members through technical coaching, design reviews, and continuous improvement of engineering practices
• Communicate technical strategy and progress to senior stakeholders with clarity, data, and pragmatic recommendations

Skills

Python

Java

Go

Machine learning

ML frameworks

Software architecture

Technical leadership

Problem solving

Education

Formal AI/ML training or certification

Tools

Kubernetes

Job description

Join JPMorganChase, where you can help shape how applied artificial intelligence and machine learning accelerate decision-making, improve efficiency, and unlock new client value. You will partner with product, engineering, and business leaders to build reusable agent platform capabilities that are reliable, scalable, and responsible.

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within our agent platform team, you will drive the delivery of production-ready agent capabilities and developer tooling that enable teams to safely build and operate agent-based solutions. You will set technical direction, raise engineering standards, and influence architecture decisions that balance speed, risk, and long-term maintainability. You will also mentor engineers and practitioners while collaborating across teams to align platform outcomes to measurable business impact.

Job responsibilities

• Define and drive the platform roadmap for agent-based capabilities, focusing on measurable outcomes, reliability, and usability
• Lead end-to-end delivery of core agent platform components, including software development kits, reference implementations, and integration patterns
• Partner with product, engineering, risk, and control stakeholders to align requirements, prioritize trade-offs, and unblock execution
• Establish quality, performance, and operational standards for agent workloads, including monitoring, testing, and incident readiness
• Translate experimentation into production by driving clear architecture decisions, scalable designs, and repeatable deployment practices
• Guide responsible development practices by embedding governance, privacy, and model risk considerations into platform design
• Mentor and develop team members through technical coaching, design reviews, and continuous improvement of engineering practices
• Communicate technical strategy and progress to senior stakeholders with clarity, data, and pragmatic recommendations

Required qualifications, capabilities and skills

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
• Demonstrated experience building and operating production software systems that integrate machine learning capabilities
• Strong programming skills in at least one modern language (for example, Python, Java, or Go) and experience with modern software engineering practices
• Hands-on experience with machine learning frameworks (for example, PyTorch, TensorFlow, or JAX) and model lifecycle tooling
• Experience designing platforms or shared services used by multiple teams, including clear interfaces, documentation, and developer experience focus
• Working knowledge of cloud and container orchestration concepts (for example, Kubernetes) and performance or reliability engineering fundamentals
• Proven ability to lead through influence, drive technical alignment, and deliver outcomes across cross-functional partners
• Strong problem-solving skills, including ability to clarify ambiguity, evaluate trade-offs, and make sound technical decisions

Preferred qualifications, capabilities and skills

• Experience building agent-based systems, orchestration patterns, or agent development tooling and evaluation frameworks
• Experience designing scalable inference or model serving architectures, including latency, throughput, and cost optimization
• Familiarity with responsible artificial intelligence practices, model risk concepts, and governance-by-design approaches
• Experience contributing to or maintaining widely used open-source software in machine learning or infrastructure ecosystems
• Domain knowledge applying machine learning to regulated financial services use cases

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