AI Architect

Posted 28d ago

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Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core
Build Enterprise Shared Services and APIs reusable across 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

15+ 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 engagements

Skills