AI Architect – AI SDLC & Agentic Engineer

Job Title :AI Architect – AI SDLC & Agentic Engineer
Experience: 12+ years overall, with strong hands-on experience in software architecture & AI.
Location : Troy Michigan(Remote position but consultant need be near to this Area.
Visa: OR USC


Role Overview
•       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 application parity/validation.