- 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.
- Solid 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