Looking for AI Modernization Architect/ Agentic AI Architect - NJ Area (Hybrid)

Hi,

Greetings from NAM Info Inc.!!!

Please find the below immediate requirement from my client. Please revert with your updated resume, visa status, current location, and contact details.

Note:Send resumes to View email address on us.fitly.work for quick submittals.

Role: AI Modernization Architect/ Agentic AI Architect

Location: NJ Area (Hybrid)

Duration: 6 Months Contract

Experience Required: 15+ Years

Skills: Agentic AI ~ Multi-Agent Systems ~ LangChain ~ LangGraph ~ CrewAI ~ AutoGen ~ Claude Code ~ Cursor ~ Gemini CLI ~ LLM APIs ~ RAG ~ Tool/Function Calling ~ Legacy Modernization ~ COBOL ~ CICS ~ IMS ~ DB2 ~ JCL ~ Java 21 ~ Spring Boot 3.x ~ MongoDB ~ Angular ~ TypeScript ~ OpenAPI ~ IBM MQ ~ AWS/Azure/GCP ~ Docker ~ Kubernetes ~ Terraform ~ Helm ~ CI/CD ~ Jenkins ~ GitHub Actions ~ Azure DevOps ~ Python ~ AI Automation

Job Description:

• We are seeking an experienced Senior Technology Lead / Agentic AI Modernization Engineer to lead the design and implementation of AI-driven legacy modernization initiatives. The ideal candidate will have strong hands-on experience with agentic AI, multi-agent systems, legacy/mainframe modernization, Java/Spring Boot, cloud-native engineering, and technical leadership.
• The candidate will work at the intersection of AI agent engineering, legacy application modernization, and cloud-native development , using AI agents to analyze legacy systems and accelerate migration to modern platforms.

Responsibilities:

• Strong understanding of LLM APIs, tool/function calling, RAG, agent memory, prompt engineering, and structured outputs .
• Experience designing sequential, parallel, supervisor/worker, reflection, and human-in-the-loop agent workflows .
• Strong legacy modernization experience with COBOL, CICS, IMS, DB2, JCL, or similar technologies .
• Strong experience with Java 21 and Spring Boot 3.x .
• Hands-on experience with MongoDB and modern REST/API architecture .
• Experience with Angular and TypeScript .
• Strong experience with AWS, Azure, or GCP .
• Hands-on experience with Docker and Kubernetes .
• Experience with Terraform and/or Helm .
• Strong CI/CD experience with GitHub Actions, Jenkins, or Azure DevOps .
• Strong understanding of cloud-native architecture, microservices, observability, resiliency, and distributed systems.
• Experience with IBM MQ and modern messaging technologies such as Kafka or equivalent.
• Strong experience with legacy-to-cloud application modernization .
• At least 3+ years of experience in a Technical Lead, Solution Architect, or Engineering Design role .
• Strong communication, architecture, technical leadership, and team mentoring skills.

• Design and develop custom AI agent pipelines for analyzing and reverse-engineering legacy applications.
• Build and manage multi-agent workflows using LangChain, LangGraph, CrewAI, AutoGen, Claude Code, Cursor, Gemini CLI, or equivalent platforms.
• Develop AI agents that analyze COBOL, CICS, IMS, DB2, JCL, and legacy application artifacts .
• Build workflows to extract business rules, data flows, dependencies, domain models, and application relationships from legacy systems.
• Design AI-driven solutions for legacy modernization and application migration .
• Develop forward-engineering workflows that generate Spring Boot services, OpenAPI contracts, MongoDB schemas, Angular components, and automated test suites .
• Implement AI-assisted migration validation and compare modernized application behavior against legacy systems.
• Develop and integrate LLM tools, function calling, RAG, vector retrieval, and structured memory into agent workflows.
• Design human-in-the-loop validation processes to review and validate AI-generated outputs.
• Develop custom tools that allow AI agents to interact with code repositories, databases, APIs, testing frameworks, and development environments.
• Apply strangler-fig, anti-corruption layer, event interception, dual-write, and migration patterns for legacy modernization.
• Lead solution architecture and create LLD documents, sequence diagrams, API designs, architecture diagrams, and ADRs .
• Design and develop cloud-native applications using Java 21 and Spring Boot 3.x .
• Work with MongoDB, Angular/TypeScript, OpenAPI 3.1, JUnit 5, Mockito, MapStruct, and Lombok .
• Design and maintain integration solutions using IBM MQ, Kafka, Azure Service Bus, or equivalent messaging platforms .
• Deploy and manage applications using Docker and Kubernetes .
• Implement cloud solutions across AWS, Azure, or GCP .
• Develop infrastructure-as-code using Terraform and/or Helm .
• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps .
• Implement automated quality and security gates including testing, SonarQube, dependency scanning, and container security.
• Lead and mentor cross-functional engineering teams across backend, frontend, AI, data migration, and cloud engineering.
• Conduct code reviews for both human-authored and AI-generated code .
• Establish standards and governance for AI-assisted software development.
• Identify modernization risks including AI hallucination, data consistency, migration gaps, and application performance issues.
• Own technical delivery, sprint commitments, architecture decisions, and modernization outcomes.
• Key Qualifications:
• Strong hands-on experience building Agentic AI / Multi-Agent systems .
• Experience with one or more AI agent frameworks/platforms such as LangChain, LangGraph, CrewAI, AutoGen, Claude Code, Cursor, or Gemini CLI .

Preferred Qualifications:

• Experience using AI agents for mainframe/COBOL modernization .
• Experience with Anthropic Claude, Google Gemini, or OpenAI GPT models .
• Experience with MCP/tool integrations and agent development environments.
• Experience with OpenTelemetry, Prometheus, Grafana, ELK, or similar observability platforms .
• Experience with Kafka, Azure Service Bus, or event-driven architectures .
• Experience implementing dual-read/dual-write migration strategies.
• Experience with zero-downtime migration and production cutover strategies .
• Experience with SpEL, Drools, or rules-engine technologies for migrating legacy business rules.
• Experience with Terraform, Helm, GitOps, and cloud-native DevSecOps .
• Experience developing AI-assisted CI/CD and automated migration validation frameworks.
• Experience working in large enterprise/BFSI environments .

Thanks & Regards..
Chamundi Prasad
Executive (Staffing)



Nam Info Inc
Email : View email address on us.fitly.work