Jobs → Customer Support → AI Architect

About the Role We are looking for an experienced AI Architect – AI SDLC & Agentic Engineer to design and implement an AI-driven Software Development Life Cycle (AI SDLC) using AI agents, Specification-Driven Development (SDD), reverse engineering, and forward engineering. Key Responsibilities • Define and implement an end-to-end AI SDLC framework covering requirements, 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), ensuring approved requirements drive architecture, code, test cases, and documentation. • Design AI agent workflows for architecture, coding, SQL/data modeling, APIs, UI, testing, code reviews, and validation. • Implement AI-assisted forward engineering to convert BRD/FRD/specifications into 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, and other agentic development platforms. Requirements • Strong hands-on experience in Software Architecture & AI • Generative AI, LLMs, RAG, AI Agents, and Agentic AI • AI-assisted software engineering and SDLC automation • Reverse Engineering and Forward Engineering • Specification-Driven Development (SDD) • Enterprise Application Architecture • .NET / Java, Angular / React, APIs, SQL, Python, and Azure / Cloud • CI/CD, DevOps, and Automated Testing • Prompt Engineering, Context Engineering, and LLM Evaluation • Strong understanding of software architecture, design patterns, and enterprise security