Enterprise Architect - AI Modernization

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15+ years of experience in enterprise architecture, software engineering, Quality Engineering, or technology modernization.

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Proven experience leading large-scale AI modernization or AI-driven engineering transformation initiatives.

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Strong expertise in Generative AI, LLMs, AI-assisted development, and agentic engineering workflows.

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Hands-on exposure to GitHub Copilot, Claude, Gemini, Cursor, or similar AI development tools.

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Experience with LangChain/LangGraph, RAG, vector databases, Azure/GCP, or comparable enterprise AI technologies.

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Understanding of Spec-Driven Development, modern application architectures, APIs, microservices, DevOps, and CI/CD.

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Ability to establish governance and validation mechanisms for AI-generated code and autonomous AI workflows.

This is a high-impact leadership opportunity for a technology visionary who can bridge Enterprise Architecture, Generative AI, Agentic Engineering, and AI-driven SDLC transformation to deliver measurable business outcomes.

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What You’ll Drive:

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Enterprise AI Modernization - Define AI strategy, architecture, roadmaps, and enterprise adoption frameworks.

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Agentic SDLC & AI Engineering - Transform traditional development into AI-augmented and agent-driven engineering workflows.

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LLMs & AI Frameworks - Architect solutions leveraging LLMs, LangChain, LangGraph, RAG, vector databases, and enterprise AI platforms.

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Spec-Driven Development (SDD) - Establish specification-led engineering practices that align requirements, code generation, testing, and validation.

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AI-Enabled Quality Engineering - Modernize software testing through intelligent test generation, AI-powered automation, continuous testing, and deterministic validation gates.

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AI Governance & Architecture - Establish enterprise standards for AI-generated code, security, reliability, scalability, and responsible AI adoption.

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