What are the responsibilities and job description for the AI Architect position at Canvendor?
Job Title : AI Architect – AI SDLC & Agentic Engineer
Job Location : Troy, Michigan(Hybrid)
Duration : 12 Months
(Note: Open to GC / US Citizens for local/hybrid alignment near Troy, MI)
Job Description:
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 approvedrequirements/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