Sr. Javafullstack AI Consultant
Job in
New York City, Richmond County, New York, USA
Listed on 2026-07-05
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
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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