AI Architect

• 8+ years in software engineering, solution architecture, or enterprise architecture.
• 3+ years designing and implementing Generative AI and LLM-based solutions.
• Proven experience delivering enterprise automation initiatives using AI and RPA technologies.
• Strong client-facing experience, including workshops, solution design sessions, and executive presentations.
• Experience building production-grade AI agents that interact with enterprise systems and execute business workflows.

Required Skills

AI & Automation

• AI Development Lifecycle (AI-DLC)
• Large Language Models (LLMs) / Generative AI
• AI-powered Process Automation | Agentic AI and Multi-Agent Architectures | Workflow Orchestration
• Prompt and Context Engineering | Retrieval-Augmented Generation (RAG)
• AI Planning and Reasoning
• AI Memory and State Management
• Human-in-the-Loop Workflows
• AI Governance and Responsible AI

Automation Platforms – One or More

• Microsoft Power Automate | RPA
• Microsoft Copilot Studio (preferred) | Azure Ai Foundry
• Ai Native Workflow automation and orchestration platforms
• API-first integration architectures

AI Frameworks (1 or more)

• LangChain | LangGraph
• LlamaIndex
• Semantic Kernel
• CrewAI
• AutoGen
• AI agent orchestration frameworks

Integration

• REST APIs
• Webhooks
• MCPs
• Enterprise application integration

Cloud & AI Platforms (atleast 1)

• Azure OpenAI |
• Azure AI Foundry
• AWS Bedrock
• Google Vertex AI
• Azure Functions, Logic Apps, or equivalent serverless services

Programming

• Python | .NET (at-least 1)
• SQL
• Git