Senior AI-Driven Legacy Migration Engineer (Python)

JPMorganChase; Jersey City (NJ); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase in Jersey City seeks a Senior Lead Software Engineer to design, build, and ship agentic systems that convert legacy COBOL/JCL into modern, production-ready services. You’ll lead multi‑domain efforts with SMEs in Credit and Taxes, extend ETL/CDC pipelines, and drive LLMOps for reliable, auditable solutions.

The role emphasizes scalable automation, rigorous testing, and governance of AI practices in a fast-paced financial tech environment.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of 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, 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.

Responsibilities

• Build and operate the specification generation pipeline – implement artifact ingestion (COBOL source, JCL, job schedules, DB2 schemas, SME‑captured knowledge).
• Develop agentic workflows for code translation and migration – translate legacy logic into Kotlin/JVM targets with guardrails.
• Build evaluation and verification infrastructure – create automated test harnesses and parity testing against legacy results.
• Contribute to the standard calculation runtime – extend the target platform with deterministic, auditable execution.
• Partner with domain SMEs across Credit, Money Market, Mutual Funds, Statements & Tax, and IBOR to validate agent outputs.
• Extend ETL and CDC pipelines for agent workflows – implement event sourcing and data pipelines.
• Operate AI systems in production – own LLMOps: deployment, monitoring, cost management, latency optimization.
• Iterate rapidly and ship continuously – build reusable libraries, templates, orchestration patterns for four core processing domains.
• Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality and delivery speed.
• Apply SDLC/TLM tooling knowledge to improve automation at scale.

Skills

Python development

LLM‑based apps

Distributed systems

API design

Testing practices

AWS/EKS/ECS

AI‑assisted tooling

Leadership & communication

Responsible AI practices

Education

BS/MS in CS/CE/Math or related field

Tools

Kubernetes (EKS)

Airflow/Temporal

Kafka

PostgreSQL

Job description

JPMorgan Chase in Jersey City seeks a Senior Lead Software Engineer to design, build, and ship agentic systems that convert legacy COBOL/JCL into modern, production-ready services. You’ll lead multi‑domain efforts with SMEs in Credit and Taxes, extend ETL/CDC pipelines, and drive LLMOps for reliable, auditable solutions.

The role emphasizes scalable automation, rigorous testing, and governance of AI practices in a fast-paced financial tech environment.