Enterprise Architect – AI Modernization

Enterprise Architect – AI Modernization | VP Level⭐ Banking, Financial Services, Payments, and other regulated-industry experience is highly desirable.📍 Location: Berkeley Heights, NJ🏢 Work Model: 5 Days Onsite💼 Employment Type: Full-Time / Permanent🏆 Seniority: VP LevelReady to architect the future of enterprise engineering with AI?We’re seeking a visionary Enterprise Architect – AI Modernization (VP Level) to lead enterprise-wide AI transformation, accelerate intelligent software delivery, and redefine how organizations design, develop, test, and deploy modern applications.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.What You’ll Drive:🔹 Enterprise AI Modernization – Define AI strategy, architecture, roadmaps, and enterprise adoption frameworks.🔹 Agentic SDLC & AI Engineering – Transform traditional development into AI-augmented and agent-driven engineering workflows.🔹 LLMs & AI Frameworks – Architect solutions leveraging LLMs, LangChain, LangGraph, RAG, vector databases, and enterprise AI platforms.🔹 Spec-Driven Development (SDD) – Establish specification-led engineering practices that align requirements, code generation, testing, and validation.🔹 AI-Enabled Quality Engineering – Modernize software testing through intelligent test generation, AI-powered automation, continuous testing, and deterministic validation gates.🔹 AI Governance & Architecture – Establish enterprise standards for AI-generated code, security, reliability, scalability, and responsible AI adoption.🔹 Executive Leadership – Partner with senior stakeholders to drive modernization strategy, architectural governance, technology innovation, and measurable business value.What We’re Looking For:✅ 15+ years of experience in enterprise architecture, software engineering, Quality Engineering, or technology modernization.✅ Proven experience leading large-scale AI modernization or AI-driven engineering transformation initiatives.✅ Strong expertise in Generative AI, LLMs, AI-assisted development, and agentic engineering workflows.✅ Hands-on exposure to GitHub Copilot, Claude, Gemini, Cursor, or similar AI development tools.✅ Experience with LangChain/LangGraph, RAG, vector databases, Azure/GCP, or comparable enterprise AI technologies.✅ Understanding of Spec-Driven Development, modern application architectures, APIs, microservices, DevOps, and CI/CD.✅ Ability to establish governance and validation mechanisms for AI-generated code and autonomous AI workflows.Who should apply? Enterprise Architects, AI Architects, AI Engineering Leaders, Digital Transformation Leaders, and technology executives who have moved beyond AI experimentation and are ready to drive enterprise-scale implementation.Let’s build the next generation of AI-powered enterprise engineering! 🚀