AI Architect - AI SDLC & Agentic Engineer

Intone Inc

Troy (MI)

On-site

USD 120,000 - 170,000

Full time

12 days ago

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Job summary

Intone Inc. seeks an AI Architect to design and implement an AI-driven SDLC using AI agents, specification-driven development, and reverse/forward engineering.

This contract role is based in Troy, Michigan, with a duration of 6+ months and responsibilities spanning requirements through deployment. The candidate will implement AI-driven pipelines, governance, and tool integrations (Claude Code, Copilot, Azure AI, OpenAI) to enable production-ready components, with emphasis on security and

Qualifications

  • Experience with Generative AI, LLMs and RAG.
  • Knowledge of AI agents and agentic AI concepts.
  • Experience enabling SDLC automation using AI tools.
  • Ability to perform reverse and forward engineering.
  • Experience with Specification-Driven Development (SDD).
  • Knowledge of enterprise application architecture.
  • Experience with .NET or Java ecosystems.
  • Experience with modern frontend frameworks (Angular/React).
  • API design and SQL proficiency.
  • Proficiency in Python.
  • Familiarity with Azure/Cloud platforms.
  • Experience with CI/CD and DevOps practices.
  • Experience with automated testing and QA workflows.
  • Experience with prompt and context engineering and LLM evaluation.
  • Strong understanding of software architecture and security.

Responsibilities

  • Define and implement an end-to-end AI SDLC framework.
  • Build AI-driven reverse engineering processes for existing apps and data.
  • Establish Specification-Driven Development directing architecture, code, tests, docs.
  • Design AI agent workflows for architecture, coding, data modeling, APIs, UI, tests, reviews.
  • Implement AI-assisted forward engineering from requirements to production components.
  • Establish automated specification-to-code/test and traceability mechanisms.
  • Define governance, security and human-in-the-loop controls for AI artifacts.
  • Evaluate integration of Claude Code, GitHub Copilot, Azure AI, OpenAI, or similar tools.

Skills

Generative AI, LLMs, and RAG
AI Agents and Agentic AI
AI-assisted software engineering andSD

Job description

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.
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