AI Architect – AI SDLC & Agentic Engineer

Job Title :AI Architect – AI SDLC & Agentic Engineer

Experience: 14+ years overall, with strong hands-on experience in software architecture & AI.

Location : Troy, Michigan (Hybrid 2days onsite)

Type: Contract

We are looking for 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.

Key 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, database, APIs, UI, and business rules and convert them into structured specifications.
• Establish Specification-Driven Development (SDD) where approved  requirements/specifications drive architecture, code, test cases, and documentation.
• Design AI agent workflows for architecture, coding, SQL/data model, API, UI, testing, code review, and validation.
• Implement AI-assisted forward engineering from BRD/FRD/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.

Required Skills

• Generative AI, LLMs, RAG, AI Agents / Agentic AI
• AI-assisted software engineering and SDLC automation
• Reverse & forward engineering
• Specification-Driven Development
• Enterprise application architecture
• .NET/Java, Angular/React, APIs, SQL, Python, Azure/Cloud
• CI/CD, DevOps, automated testing
• Prompt/context engineering and LLM evaluation
• Strong understanding of software architecture, design patterns, and enterprise security

Preferred

• Experience building an AI SDLC / Agentic Engineering framework from PoC to enterprise adoption.
• Experience with legacy modernization and AI-based