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AI Architect – AI SDLC & Agentic Engineer

Canvendor IncTroy, MI🇺🇸United StatesPosted Oct 23, 2026

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationTroy, MI, United States
Posted20 hours ago
SQLGitAngular.NETJavaLLMPythonGenerative AIAzureReactCI/CDRAG

Job description

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

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