ROLE_DESCRIPTION - Familiarity with industry leader Al platforms such as MS Copilot, AWS Quick, Claude Suite, UiPath. • Ability to craft structured prompts, apply reasoning patterns, manage memory, and control agent behavior for accurate, reliable outputs. • Hands-on experience building autonomous workflows using tools to orchestrate agents. • Designing agents that can invoke APIs, query databases, and interact with enterprise tools to perform real-world actions beyond text generation. • Strong coding skills to implement orchestration logic, handle async workflows, error handling, and integrate AI capabilities into applications. • Understanding embeddings, vector search, RAG pipelines, model limitations, and how to ground LLM responses in enterprise data. • Building multi-step, multi-agent systems with task decomposition, state tracking, and event-driven execution. • Deploying scalable agent systems on AWS/Azure, using containers, managing CI/CD pipelines, and ensuring performance and reliability. • Handling sensitive data, preventing prompt injection, enforcing guardrails, and ensuring compliance with enterprise policies. • Monitoring agent performance, logging decisions, testing outputs, and iterating using feedback loops and metrics. • Designing agents with clear business outcomes, usability, and ROI in mind-not just technical feasibility. Skills: Digital : Artificial Intelligence(AI) Experience Required: 4-6