Artificial Intelligence Research Lead - Vice President
Software Engineering
JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services.
AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly.
As a Vice President / Research Lead in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank. You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams.
Job responsibilities
Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.
Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.
Contribute to high-impact business applications, reusable assets and products, and research initiatives.
Provide thought leadership on internal and external forums through white papers, publications and presentations.
Lead projects or major workstreams in larger projects/initiatives. Play a key role in ensuring that problem definitions and solutions are technically sound, generalizable and capture business/product requirements. Proactively identify and propose new research projects linked to business problems.
Required qualifications, capabilities, and skills
PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 2+ years of relevant work experience
Research publications in top-tier AI/ML venues (e.g., conferences, journals) – broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc.
Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise. Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation.
Effective verbal and written communication skills with the ability to address both technical and business audiences.
Practical software development experience in collaborative project settings such as open-source projects or industry experience. Ability to deliver modular, optimized, high-quality Python code with tests.
Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production and motivated to make an impact on problems in the financial services domain.
Researchers across multiple areas of specialization, including: Synthetic Data Generation across multiple modalities (tabular, images, time-series, etc.), synthetic personas and agent simulations
Multimodal agent security and safety, alignment, guardrails, red teaming, data privacy and unlearning
Continual learning for agents (e.g. memory-based, model-based including reinforcement learning and post-training)
Advanced multi-agent systems including co-ordination, negotiation, deep research, and hybrid / neuro-symbolic approaches
Formal methods (e.g., temporal logic, constraint programming, model checking, automated planning, theorem proving, SMT/SAT solving) and program/hardware verification.
Preferred qualifications, capabilities, and skills
Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.) and agent frameworks (e.g. LangGraph, Google ADK, etc.)
Familiarity with common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL)
Curiosity, creativity, resourcefulness, and a collaborative spirit
Foundation model training for tabular, time-series, language and other modalities and Multimodal information discovery, understanding and predictive modeling spanning multiple modalities e.g. websites, news, audio, speech, documents, images, etc.
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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
The goal of JPMorgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields.