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Sr. Javafullstack AI Consultant

Job in New York City, Richmond County, New York, USA
Listing for: Coforge
Full Time position
Listed on 2026-07-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Software Architect
Job Description & How to Apply Below
Position: Sr. Javafullstack AI Consultant          at Coforge

Sr. Javafullstack AI Consultant

We at Coforge are hiring a Sr. Javafullstack AI Consultant with following skillset:

  • Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core.
  • Build Enterprise Shared Services and APIs that could be reused across different product teams.
  • Define and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment.
  • Design and implement agentic workflow orchestration using Lang Graph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop patterns.
  • Build reusable reference implementations, libraries, and playbooks for AI-augmented engineering.
  • Drive adoption of Dev Ops, CI/CD, and observability practices with AI-driven enhancements.
  • Advise on engineering policies and standards that embed AI-first principles.
  • Upskill existing engineers on agentic AI patterns and AI-integrated development practices.

Qualifications &

Experience:

  • 10+ years in software engineering with advisory experience.
  • Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azure.
  • Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architecture.
  • Hands-on experience orchestrating agentic AI workflows using Lang Graph, Lang Chain, or comparable frameworks.
  • Proven ability to design multi-agent systems with tool use, planning, and RAG patterns.
  • Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automation.
  • Strong understanding of LLM orchestration, prompt engineering, and AI observability.
  • Insurance P&C domain experience strongly preferred.
  • Excellent communication skills with the ability to influence from engineering teams to senior leadership.
  • Track record of delivering measurable outcomes within time-bound engagements.
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