JPMorganChase is hiring top talent to join the growing Corporate & Investment Bank Technology organization within Digital & Platform Services / Data Analytics, building production AI agents on NEO that leverage the firm’s scale, data, and full-service advantage to deliver measurable impact across the Commercial & Investment Bank and Payments.
As a Senior AI Application Engineer within the firm’s NEO agent runtime platform on AWS and Azure, you will design, productionize, and operate large language model (LLM)-powered agents, partnering closely with business, product, and engineering teams in a fast-paced environment.
Core Selling Aspects (Why this role)You’ll build and ship agents that real businesses depend on, not demos. NEO already runs a federated portfolio of production agents — forecasting, anomaly detection, log analysis, with sales fulfillment and voice-of-client close behind — and you’ll add to it.
You’ll work across Corporate & Investment Bank sub–lines of business and Payments, using NEO’s runtime, retrieval, and memory primitives plus platforms such as Databricks and the GenAI Gateway, and apply MLOps for automation, continuous delivery, and compliance with AI/ML control expectations.
NEO is the firm’s agent runtime: it gives agents secure execution, agent-to-agent (A2A) communication, MCP-based tool access, a managed memory layer, and permission-aware, auditable operation in a regulated environment. Your job is to turn that platform into shipped agents.
Job Responsibilities- Design and ship production agents on NEO across the federated portfolio, owning them from prototype through production.
- Build retrieval that holds up in production: chunking, ranking, and grounding strategies that keep answers accurate and auditable.
- Design agent memory: episodic and semantic memory organized as memory nodes, with recall, summarization, and decay policies tuned per use case.
- Own organizational context management — assembling entitlement-, lineage-, and tenant-aware context so each agent reasons over only what it’s allowed to see.
- Compose multi-agent workflows using A2A, and integrate tools and data through MCP servers (Bitbucket, Confluence, Databricks, Kubernetes, Snowflake, Splunk).
- Build and run evals: task-level and end-to-end agent evaluations, regression suites, LLM-as-judge, and quality/safety gating before release.
- Deploy and operate solutions on public cloud (AWS and/or Azure) with strong SDLC, security, resiliency, and observability practices.
- Partner with product and business partners across the Corporate & Investment Bank and Payments to turn use cases into shipped, supported agents.
- MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience).
- Minimum 7 years of development experience, with at least 4 years working on AI/ML solutions.
- Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails.
- Strong programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
- Practical RAG experience — retrieval quality, embeddings, and vector stores.
- Expert knowledge of at least one of: AWS, Azure, Kubernetes.
- Knowledge of data management and data model design; real-time processing using both SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis).
- Excellent communication skills with the ability to partner effectively with senior technical and business stakeholders.
- Graph RAG experience (e.g., combining knowledge-graph traversal with vector search).
- Experience with agent frameworks or runtimes, A2A, or MCP.
- Agent memory design (memory nodes, episodic/semantic memory) and organizational context management.
- Knowledge graphs and graph databases used for retrieval.
- Understanding of LLM fine-tuning and small language model inference.
- Ability to develop full-stack products using modern JavaScript/TypeScript frameworks (e.g., Next.js, Svelte) for agent UIs (AG-UI / NEO UI SDK).
- Experience working in the financial or payments domain at a large institution (Investment Banking, Markets, Securities Services, or adjacent).
- Knowledge of high-performance languages such as Go or Rust.
About Us
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
Skills Required
- MS in Computer Science, Statistics, Mathematics, Machine Learning, or a related field, or equivalent experience
- Minimum 7 years of development experience
- At least 4 years of experience working on AI or machine learning solutions
- Production experience building LLM-powered or agentic applications, including tracing, evaluations, and guardrails
- Strong Python programming skills
- Deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics
- Practical retrieval-augmented generation experience, including retrieval quality, embeddings, and vector stores
- Expert knowledge of at least one of AWS, Azure, or Kubernetes
- Knowledge of data management and data model design
- Experience with real-time processing using SQL and NoSQL data stores
- Excellent communication skills and ability to partner with senior technical and business stakeholders
- Experience with agent frameworks or runtimes, A2A, or MCP
- Experience designing agent memory and organizational context management
- Knowledge of knowledge graphs and graph databases for retrieval
- Understanding of LLM fine-tuning and small language model inference
- Ability to develop full-stack products using modern JavaScript or TypeScript frameworks such as Next.js or Svelte
- Experience in the financial or payments domain at a large institution
- Knowledge of high-performance languages such as Go or Rust
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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