Note: The job is a remote job and is open to candidates in USA. Coforge is seeking a Sr. Javafullstack AI Consultant to enhance their engineering practices through AI integration. The role involves building Enterprise Shared Services, defining an AI-in-SDLC strategy, and driving the adoption of DevOps and CI/CD practices with AI-driven enhancements.

Responsibilities

• 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 LangGraph, 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 DevOps, 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

Skills

• 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 architectures
• Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, 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
• Excellent communication skills with the ability to influence from engineering teams to senior leadership
• Track record of delivering measurable outcomes within time-bound engagement
• Insurance P&C domain experience strongly preferred

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