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
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.
About UsWe 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
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
