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.
Job Responsibilities
- 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 reviews, troubleshoots, and debugs code developed by others
- 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
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts and 10+ years of applied experience
- Hands-on experience delivering system design, application development, testing, technical troubleshooting, and operational stability
- Advanced proficiency in one or more programming languages, including Python
- Proven experience architecting and delivering production LLM agents or multi-agent systems, including tool use, memory, evaluation, and guardrails
- 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 auditable outputs, such as pricing, billing, valuation, or risk systems
- Experience designing secure distributed systems, including identity, authorization, service-to-service trust, and controls for sensitive data
- 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
Preferred Qualifications, Capabilities, and Skills
- 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, Google ADK, or LangGraph
- Experience with regulated workflows in which LLM outputs must be constrained, attributable, explainable, and auditable
- 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 capacity planning, or small language model inference
- 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
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
- Formal training or certification in software engineering concepts and 10+ years of applied experience
- Hands-on experience with system design, application development, testing, technical troubleshooting, and operational stability
- Advanced proficiency in one or more programming languages, including Python
- Experience delivering production LLM agents or multi-agent systems, including tool use, memory, evaluation, and guardrails
- Experience designing end-to-end machine learning platforms or MLOps pipelines covering training, deployment, serving, monitoring, and governance
- Experience architecting deterministic, explainable, and auditable systems such as pricing, billing, valuation, or risk systems
- Experience designing secure distributed systems, including identity, authorization, service-to-service trust, and sensitive-data controls
- Experience applying AI-assisted software development tools and validating AI-generated outputs for correctness, performance, security, and resiliency
- Proficiency across the software development lifecycle, including agile methods, CI/CD, resiliency, security, and operations
- Practical cloud-native experience with Kubernetes and Amazon EKS, including workload identity, network security, fine-grained authorization, runtime isolation, and application controls
- Knowledge of financial services technology environments and secure, resilient systems supporting complex business processes
- Understanding of concurrency and distributed computation, including multithreading, async models, task queues, backpressure, retries, idempotency, races, and deadlocks
- Experience with MCP, A2A, AG-UI, Google ADK, or LangGraph
- Experience with regulated workflows requiring constrained, attributable, explainable, and auditable LLM outputs
- Experience with OpenFGA, OPA/Rego, Istio/Envoy mTLS, Kata Containers, gVisor, or Firecracker
- Experience with Databricks, MLflow, Kubernetes model serving, GPU capacity planning, or small language model inference
- Experience with optimization, pricing, revenue management, elasticity, econometric models, knowledge graphs, GraphRAG, or organizational memory
- Experience with model risk management or governance processes for revenue or client-pricing models, or knowledge of commercial card, treasury services, merchant pricing, billing, or revenue systems
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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