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
Skills Required
- Formal training or certification in applied artificial intelligence and machine learning concepts
- 5+ years of applied artificial intelligence and machine learning experience
- Experience building and operating production software systems integrating machine learning capabilities
- Strong programming skills in at least one modern language, such as Python, Java, or Go
- Experience with modern software engineering practices
- Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX
- Experience with model lifecycle tooling
- Experience designing platforms or shared services used by multiple teams
- Experience defining clear interfaces, documentation, and developer experiences
- Working knowledge of cloud and container orchestration concepts, such as Kubernetes
- Knowledge of performance or reliability engineering fundamentals
- Ability to lead through influence, drive technical alignment, and deliver cross-functional outcomes
- Strong problem-solving skills, including clarifying ambiguity, evaluating trade-offs, and making technical decisions
- Experience building agent-based systems, orchestration patterns, agent development tooling, or evaluation frameworks
- Experience designing scalable inference or model-serving architectures
- Experience optimizing latency, throughput, and cost
- Familiarity with responsible artificial intelligence practices, model risk concepts, and governance-by-design
- 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 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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