Principal Research Engineer - AI/ML
Software Engineering, Data Science · Full-time
Jersey City, NJ, USA · New York, NY, USA
Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.
As a Applied AI Machine Learning Director at JPMorganChase within the Applied AI Research team in the Commercial & Investment Bank, you will lead the design and delivery of agent-based and generative artificial intelligence solutions that transform complex operations. You will bridge state-of-the-art research and enterprise-grade engineering to build systems that are safe, reliable, and scalable. You will partner across product, engineering, and business teams to prioritize high-impact problems and deliver outcomes. You will also raise the technical bar through mentorship, technical leadership, and strong scientific rigor.
Job responsibilities
- Architect end-to-end agent-based and generative artificial intelligence solutions to automate complex operational workflows
- Translate ambiguous business problems into research hypotheses, measurable success metrics, and production-ready designs
- Build and ship multiple collaborating agents that coordinate planning and execution across large, multi-step processes
- Design reusable services, libraries, and evaluation frameworks that accelerate adoption across artificial intelligence and engineering teams
- Establish robust experimentation practices, including offline/online evaluation, monitoring, and iterative improvement loops
- Partner with stakeholders across teams to identify priority use cases, define roadmaps, and deliver scalable capabilities
- Ensure solutions meet enterprise expectations for reliability, security, and long-term maintainability in production
- Mentor and coach engineers and researchers through design reviews, technical guidance, and knowledge sharing
Required qualifications, capabilities and skills
- Formal training or certification on applied artificial intelligence and machine learning concepts and 10+ years applied experience
- Advanced degree (master’s or doctorate) in computer science, engineering, statistics, or a related quantitative discipline, or equivalent practical experience
- Demonstrated experience deploying machine learning and/or generative artificial intelligence systems into production at enterprise scale
- Strong foundation in machine learning fundamentals, experimental design, and data-driven decision-making
- Experience designing distributed systems for model training, inference, and stateful services in production environments
- Proven ability to create evaluation strategies for agent-based systems (quality, safety, latency, cost, and reliability), and improve them over time
- Strong programming and engineering skills with a track record of building maintainable, reusable components used by other teams
- Demonstrated ability to lead through influence in cross-functional environments and drive alignment across technical and non-technical stakeholders
Preferred qualifications, capabilities and skills
- Experience deploying and operating machine learning workloads on Amazon Web Services (for example, Amazon SageMaker or Amazon Bedrock)
- Publication history, open-source contributions, or demonstrated applied research impact in areas such as large language models, reinforcement learning, or autonomous agents
- Experience with containerized and cloud-native deployment patterns (for example, Kubernetes-based platforms)
- Familiarity with governance and risk considerations for artificial intelligence systems, including privacy, model safety, and responsible use
- Domain experience applying advanced analytics or artificial intelligence to large-scale operational processes in financial services or other regulated industries
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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
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Build autonomous AI agents from research to production to transform banking operations at enterprise scale.