AI Architect - AI SDLC & Agentic Engineer

We are seeking an AI Architect to design and implement an AI-driven Software Development Life Cycle (AI SDLC) using AI agents, specification-driven development, reverse engineering, and forward engineering. This is a contract position based in Troy, Michigan, with a duration of 6+ months.

Responsibilities

• Define and implement an end-to-end AI SDLC framework from requirements through development, testing, validation, and deployment.
• Build AI-driven reverse engineering processes to analyze existing applications, code, databases, APIs, UI, and business rules and convert them into structured specifications.
• Establish Specification-Driven Development (SDD) where approved requirements and specifications drive architecture, code, test cases, and documentation.
• Design AI agent workflows for architecture, coding, SQL/data modeling, API development, UI, testing, code review, and validation.
• Implement AI-assisted forward engineering from business requirements documents, functional requirements documents, and specifications to production-ready application components.
• Establish automated specification-to-code, specification-to-test, and traceability/validation mechanisms.
• Define governance, security, quality gates, and human-in-the-loop controls for AI-generated artifacts.
• Evaluate and integrate tools such as Claude Code, GitHub Copilot, Azure AI, OpenAI, or similar agentic development platforms.

Qualifications

• Required
• Generative AI, LLMs, and RAG (Retrieval-Augmented Generation)
• AI Agents and Agentic AI
• AI-assisted software engineering and SDLC automation
• Reverse and forward engineering
• Specification-Driven Development
• Enterprise application architecture
• .NET or Java
• Angular or React
• APIs and SQL
• Python
• Azure or Cloud platforms
• CI/CD and DevOps
• Automated testing
• Prompt and context engineering and LLM evaluation
• Strong understanding of software architecture, design patterns, and enterprise security
• Preferred
• Experience building an AI SDLC or Agentic Engineering framework from proof of concept to enterprise adoption.
• Experience with legacy modernization and AI-based transformation.