AI/ML Senior Lead Software Engineer - Agentic Pricing

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment bank Digital & Platform Services, Data Analytics, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Regularly provides technical guidance and direction to support the business

• Formal training or certification on software engineering concepts and 5+

years applied experience with at least 4 years working on AI/ML solutions.

• Hands-on practical experience delivering system design, application

• MS in Computer Science, Statistics, Mathematics, Machine Learning, or related

field (or equivalent experience).

• 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. Graph RAG a strong

plus.

• 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

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.

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.

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.

• Design and ship production agents on NEO across the federated portfolio,

owning them from prototype through production.

• Build retrieval that holds up in production: Graph RAG combining

knowledge-graph traversal with vector search, plus 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 CIB and Payments to turn

use cases into shipped, supported agents.

• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide

frameworks, tools, and practices of the Software Development Life Cycle

• Advanced in one or more programming language(s) - Strong programming skills

in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.

• Hands-on experience building LLM-powered or agentic applications in

production, including tracing, evaluations, and guardrails.

• Deep proficiency with Kubernetes and Amazon EKS, micro-VM isolation (e.g.,

Firecracker, Kata Containers, gVisor), and sidecar architectures, with proven experience designing defense in depth across the stack: network and mTLS, workload identity, fine-grained authorization, runtime isolation for untrusted or adversarial workloads, and application-level guardrails

• 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.

• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application

• In-depth knowledge of the financial services industry and their IT systems