AI Modernization Senior Lead Software Engineer

JPMorganChase; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase is seeking an experienced software engineer to join an agile team modernizing trusted market-ready AI/ML tools. You will build end‑to‑end translation pipelines, agentic workflows, and robust verification for migrated financial calculations.

The role emphasizes production‑level Python development, AI tooling, and secure, scalable cloud architectures. Collaboration with domain SMEs will drive prompt strategies and governance across the SDLC.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience building LLM-based applications with agentic architectures and RAG pipelines.
• Strong fundamentals in distributed systems, API design, testing, and cloud platforms (AWS/EKS/ECS).
• Expert proficiency with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor).
• Strong Python production experience and ability to operate complex systems.

Responsibilities

• Builds and operates pipelines ingesting COBOL/JCL/DB2 artifacts and prepares structured specs.
• Designs multi-agent systems for translating legacy logic to Kotlin/JVM with orchestration layers.
• Creates automated parity and regression test suites to validate migrations.
• Extends the calculation runtime and ensures deterministic, auditable execution.
• Collaborates with domain SMEs to validate outputs and refine prompts and strategies.
• Extends ETL and CDC pipelines for end-to-end migrated workflows.
• Manages LLMOps: deployment, monitoring, and cost management for 24/7 operation.
• Shoots for rapid iteration with instrumented experiments and data-driven decisions.

Skills

LLM-based development

Python development

Distributed systems

API design

Testing practices

Problem solving

Communication

Leadership

Secure AI practices

Education

B.S. in Computer Science or related field

Tools

Claude Code

GitHub Copilot

Cursor

Kubernetes

Job description

Job Description

Be 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 deep technical expertise and problem‑solving methodologies across multiple technologies and applications.

Job Responsibilities

• Builds and operates the spec generation pipeline — Implement artifact ingestion (COBOL source, JCL, job schedules, DB2 schemas, SME‑captured knowledge), chunking strategies, and RAG pipelines that produce structured calculation and workflow specifications validated by domain experts.
• Develops agentic workflows for code translation and migration — Design, implement, and iterate on multi‑agent systems that translate legacy logic into target‑state code (Kotlin/JVM). Build orchestration layers, tool‑use patterns, and guardrails that ensure output correctness for financial calculations.
• Builds evaluation and verification infrastructure — Create automated test harnesses that compare migrated calculation outputs against legacy results. Implement parity testing frameworks, regression suites, and confidence scoring to gate production cutover decisions.
• Contributes to the standard calculation runtime — Help build and extend the target platform that migrated calculations deploy into. Ensure the runtime supports deterministic, immutable, auditable execution.
• Partners with domain SMEs — Embed with mainframe subject‑matter experts across Credit, Money Market & Mutual Funds, Statements & Tax, and IBOR to validate agent outputs, refine prompt strategies, and close knowledge gaps in specifications.
• Extends ETL and CDC pipelines for agent workflows — Build and integrate event sourcing, CDC (change data capture), and data pipelines that support end‑to‑end migrated workflows, including upstream/downstream dependency mapping.
• Operates AI systems in production — Own LLMOps for the toolchain: deployment, monitoring, cost management, latency optimization, token budget management, and incident response. Ensure reliability and compliance for 24/7 operation.
• Iterates rapidly and ships continuously — Work in tight build‑measure‑learn cycles. Prototype quickly, instrument everything, and make data‑driven decisions about agent architectures, model selection, and prompt strategies.
• Contributes to shared tooling and infrastructure — Build reusable libraries, evaluation harnesses, prompt templates, and orchestration patterns that scale AI capabilities across all four core processing domains.
• Drives adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands‑on experience building LLM‑based applications — agentic architectures, RAG pipelines, prompt engineering, and evaluation frameworks
• Strong software engineering fundamentals: distributed systems, event‑driven architectures, API design, testing practices, and cloud platforms (AWS/EKS/ECS)
• Expert proficiency with AI‑assisted development tools (Claude Code, GitHub Copilot, Cursor) as core daily workflow
• Strong experience with Python development in production environments
• Demonstrated ability to operate and debug complex systems — you own what you ship
• Clear communicator who can articulate technical trade‑offs to both engineers and business stakeholders
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred Qualifications, Capabilities, And Skills

• Experience with legacy systems, mainframe technologies (COBOL, JCL, DB2), or large‑scale migration programs
• Familiarity with workflow orchestration (Temporal, Airflow) and event sourcing / CDC patterns and experience building code analysis, translation, or verification tooling
• Experience with Kafka, PostgreSQL, and container orchestration (Kubernetes/EKS)
• Background in financial services — wealth management, brokerage, or capital markets processing

ABOUT US

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.

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

About The Team

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non‑profits. You'll support the delivery of award‑winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting‑edged mobile applications, digital experiences and next‑generation banking technology solutions to better serve our clients and customers.