Role: Lead AI Engineer/Architect with Mainframe/Cobol —Modernization
Location: Whitehouse station, New Jersey (Hybrid role)
Duration: Long Term
Job description:
We are modernizing a large-scale enterprise insurance policy administration system from Visual Age Smalltalk / mainframe COBOL to Java 21 + Spring Boot + MongoDB. You will design and build the AI agents and skills that power every phase of the transformation — from reverse engineering and code extraction through to Java code generation and synthesis.
What You Will Do
- Build and maintain production AI agents for reverse engineering, code extraction, code transformation, synthesis and automated testing across Smalltalk and COBOL codebases
- Author reusable AI skills for repeatable subtasks (pseudocode conversion, diagram generation, business rule extraction, pattern identification)
- Design multi-agent pipelines with orchestration, audit logging, and human-in-the-loop checkpoints
- Own the agent standards library — design principles, naming conventions, and quality gates
- Mentor engineers on agentic AI patterns, prompt engineering, and legacy system analysis
Required Skills
- Hands-on experience building production AI agents (Anthropic, LangChain, LangGraph, AutoGen, or similar)
- Strong prompt engineering — system prompts, structured instructions, tool use, context window management
- 5+ years software engineering; 2+ years in agentic AI or LLM systems
- Proficiency in Java 21 and Python
- Ability to read and reason about legacy code (Smalltalk, COBOL, or equivalent)
- Experience with legacy-to-modern migration projects
- REST API design (OpenAPI 3.0) and MongoDB
- Git, CLI-first tooling, CI/CD pipelines
Nice to Have
- Insurance industry experience (policy administration, rating, underwriting)
- IMS/DB2, IBM MQ, or mainframe integration background
Never miss an opportunity! Create an alert based on the job you applied for.