Sr Lead Software Engineer - Agentic Pricing & AI/ML

As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you will be a part of a team creating its standard platform for building and running AI agents in production. It gives teams a common runtime and the shared capabilities they need to take an agent from idea to a live, trusted service, so they can focus on what the agent does rather than rebuilding every time. As a senior technical authority for the Jersey City team, you will help set the architecture for our agentic pricing capabilities and how pricing and optimization models are trained, served, and governed as tools used by AI agents.

Your technical decisions will help enable agent-supported pricing while maintaining the accuracy, explainability, security, and auditability required of our pricing systems.

• Sets the technical direction and reference architecture for agentic pricing,

including multi-agent topology, agent-to-agent (A2A) communication, Model Context Protocol (MCP) tool integration, and the boundaries between large language model (LLM) reasoning and deterministic pricing engines

• Designs control architecture for pricing integrity, including versioned and

effective-dated pricing logic, comprehensive audit trails, price explanations, and appropriate segregation between proposing and approving prices

• Designs secure authorization and information barriers for agents operating

across clients, sellers, and regions, including fine-grained authorization and isolated execution of sensitive pricing data

• Defines MLOps architecture for models used as agent tools, including model

training, environment promotion, model registry, Kubernetes-based serving, monitoring, challenger models, back-testing, and retraining practices

• Establishes engineering standards for agent quality and safety, including

evaluation frameworks, guardrails, observability, and evidence supporting appropriate model risk review

• Executes creative software solutions, design, development, and technical

troubleshooting, applying innovative approaches to solve complex technical problems

• Develops secure, high-quality production code for critical systems and

• Formal training or certification in software engineering concepts and 10+

• Strong understanding of concurrency and distributed computation:

multithreading and the async model, process and worker architectures, task queues and backpressure, and the failure modes of concurrent distributed systems (races, deadlocks, retries, idempotency)

• Experience with agent protocols and frameworks such as MCP, A2A, AG-UI,

• Partners with platform, engineering, pricing, product, finance, and risk

teams to develop reusable capabilities, establish shared agent and MLOps patterns, and support effective governance of pricing decisions

• Drives adoption of enterprise-authorized AI-assisted engineering practices

while establishing validation standards for secure coding, peer review, automated testing, correctness, performance, and security

• Applies expertise across the Software Development Life Cycle and identifies

opportunities to automate or eliminate recurring issues to improve application and system stability

• Provides technical leadership through architecture and technology

evaluations, design reviews, documented architecture decisions, and mentoring of engineers

• Hands-on experience delivering system design, application development,

• Advanced proficiency in one or more programming languages, including Python
• Proven experience architecting and delivering production LLM agents or

• Proven experience designing end-to-end machine learning platforms or MLOps

pipelines spanning model training, deployment, serving, monitoring, and governance

• Experience architecting systems requiring deterministic, explainable, and

• Experience designing secure distributed systems, including identity,

• Demonstrated experience applying AI-assisted software development tools and

establishing appropriate validation of AI-generated outputs for correctness, performance, security, and resiliency

• Proficiency across the Software Development Life Cycle, including agile

methodologies, CI/CD, application resiliency, security, and operational practices

• Practical cloud-native experience, including Kubernetes and Amazon EKS, with

knowledge of workload identity, network security, fine-grained authorization, runtime isolation, and application-level controls

• Knowledge of financial services technology environments and experience

designing secure, resilient systems supporting complex business processes

• Experience with regulated workflows in which LLM outputs must be constrained,

• Experience with authorization, service-mesh, or workload-isolation

technologies such as OpenFGA, OPA/Rego, Istio/Envoy mTLS, Kata Containers, gVisor, or Firecracker

• Experience with Databricks, MLflow, Kubernetes-based model serving, GPU

• Experience with optimization, pricing, revenue management, elasticity or

econometric models, knowledge graphs, GraphRAG, or organizational memory in a production environment

• Experience with model risk management or comparable governance processes for

models influencing revenue or client pricing, and/or knowledge of commercial card, treasury services, merchant pricing, billing, or revenue systems

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.