Sr. Javafullstack AI Consultant

Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its cor

• e.Build Enterprise Shared Services and APIs that could be reused across different product tea
• msDefine and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deploymen
• t.Design and implement agentic workflow orchestration using LangGraph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop pattern
• s.Build reusable reference implementations, libraries, and playbooks for AI-augmented engineerin
• g.Drive adoption of DevOps, CI/CD, and observability practices with AI-driven enhancement
• s.Advise on engineering policies and standards that embed AI-first principle
• s.Upskill existing engineers on agentic AI patterns and AI-integrated development practice

• ce10+ years in software engineering with advisory experienc
• e.Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azur
• e.Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architecture
• s.Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable framewor
• ksProven ability to design multi-agent systems with tool use, planning, and RAG pattern
• s.Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automatio
• n.Strong understanding of LLM orchestration, prompt engineering, and AI observabilit
• y.Insurance P&C domain experience strongly preferre
• d.Excellent communication skills with the ability to influence from engineering teams to senior leadershi
• p.Track record of delivering measurable outcomes within time-bound engagement