You will join a platform team shaping how agentic systems are built, evaluated, and deployed at scale. This is a deeply hands-on role where you will design core platform capabilities, write production-quality code, and partner across product and engineering to drive adoption. You will help turn advanced agent and generative AI techniques into reliable, reusable building blocks that teams can use to deliver measurable business outcomes.
As an Applied Artificial Intelligence and Machine Learning Director at JPMorganChase within the Agent Builder Platform team in Corporate Sector, you will build and evolve an Agent software development kit (SDK) and specialized agent capabilities for broad enterprise use. You will own key technical decisions, set practical engineering standards, and deliver critical components end-to-end. You will collaborate with partners across data, platform, and application teams to ensure solutions are scalable, secure, and maintainable.
Job responsibilities
- Architect and implement core Agent SDK capabilities and reference implementations, with a strong emphasis on production-ready code
- Build specialized agents and reusable agent components, improving reliability, observability, and evaluation quality over time
- Translate emerging agentic and generative AI techniques into scalable platform features that teams can adopt with minimal friction
- Design and implement evaluation approaches for agent behavior, including quality, robustness, latency, and cost trade-offs
- Develop and optimize model-serving and workflow patterns for agentic systems, including retrieval-augmented generation and tool-using agents
- Partner with product and engineering stakeholders to align platform capabilities to clear success metrics and prioritized outcomes
- Drive technical decisions by clarifying ambiguity, identifying trade-offs, and producing crisp recommendations and designs
- Improve platform performance and efficiency through profiling, bottleneck analysis, and system-level optimization
Required qualifications, capabilities and skills
- Formal training or certification on applied artificial intelligence and machine learning concepts and 10+ years applied experience
- 10+ years of hands-on experience building large-scale machine learning systems and platform services used by multiple teams
- Strong software engineering skills, including the ability to own end-to-end delivery from design through implementation, testing, and operation
- Extensive experience with machine learning frameworks such as PyTorch or TensorFlow
- Hands-on experience with agentic and generative AI system design, including tool use, planning patterns, retrieval-augmented generation, and evaluation methods
- Strong experience with cloud and Kubernetes ecosystems, including building and operating production workloads
- Background in high-performance machine learning systems, including hardware acceleration considerations (for example, GPU optimization)
- Proven ability to influence across teams without formal authority through technical leadership, clear communication, and strong execution
Preferred qualifications, capabilities and skills
- Experience contributing to or optimizing open-source machine learning frameworks or platform tooling
- Experience building Kubernetes deployment automation (for example, Helm) or extending Kubernetes for machine learning workloads (for example, operators)
- Experience with JAX, scikit-learn, or additional machine learning ecosystem tools beyond primary frameworks
- Advanced degree in Computer Science, Machine Learning, or a related field
- Experience establishing engineering standards for responsible and reliable AI systems, including testing and measurement practices
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 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
- 10+ years of applied artificial intelligence and machine learning experience
- 10+ years of hands-on experience building large-scale machine learning systems and platform services used by multiple teams
- Strong software engineering skills and end-to-end delivery experience covering design, implementation, testing, and operations
- Extensive experience with machine learning frameworks such as PyTorch or TensorFlow
- Hands-on experience designing agentic and generative AI systems, including tool use, planning, retrieval-augmented generation, and evaluation methods
- Strong experience with cloud and Kubernetes ecosystems, including production workload operations
- Experience with high-performance machine learning systems and hardware acceleration, including GPU optimization
- Ability to influence across teams without formal authority through technical leadership, communication, and execution
- Experience contributing to or optimizing open-source machine learning frameworks or platform tooling
- Experience building Kubernetes deployment automation with tools such as Helm or extending Kubernetes with operators for machine learning workloads
- Experience with JAX, scikit-learn, or additional machine learning ecosystem tools
- Advanced degree in computer science, machine learning, or a related field
- Experience establishing engineering standards for responsible and reliable AI systems, including testing and measurement practices
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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