AI Architect

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.)

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.

CHANDRASEKAR

AI Solutions Architect Enterprise Architect Cloud & Platform Engineering Leader

AWS Certified Solutions Architect