Applied Researcher - Agentic AI Systems - Associate

As an Associate Applied Researcher in the Quantitative Trading & Research (QTR) Team, you’ll sit at the intersection of applied research and production engineering turning frontier GenAI capabilities into reliable, high-leverage agentic systems that transform how we respond to inbound client requests., * Build agentic systems end-to-end: design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses

• Drive applied research by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine-tuning, prompt optimization) and integrating the best into production
• Own the full loop from problem framing and dataset construction through model/agent design, evaluation, deployment, and monitoring
• Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes
• Partner cross-functionally with sales, quant research, trading, product, and engineering to deeply understand RFQ/client workflows and ship adopted solutions
• Build and maintain production-grade code and systems that are observable, robust, and scalable
• Contribute to technical direction and standards for agent design, evaluation, and safe deployment, 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.

• Strong coding skills (Python preferred) and comfort owning production code
• Advanced degree in Computer Science, Data Science, Machine Learning, or related field.
• Hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals)
• Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies
• Demonstrated applied research track record delivering ML/AI systems that moved a real business or user metric
• Ability to explain technical tradeoffs to non-technical stakeholders and write clearly
• Bias to action; comfortable working in ambiguity with rapidly evolving requirements
• Strong ownership mindset with a focus on improving what’s broken without waiting for permission

Preferred qualifications, capabilities, and skills

• Experience with Equity Derivatives and Pricing
• Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models
• Experience scaling an agentic prototype into a production system used by real users
• Experience designing and operating monitoring/QA processes for LLM outputs (quality, safety, reliability)

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.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.