UI Path Tech Lead + Agentic AI

Role- UI Path Tech Lead + Agentic AI

Experience- 9+ Years

Location- Bangalore / Hyderabad / Noida

Core Responsibilities

• Spearheading the design, development, deployment, and maintenance of intelligent automation systems that combine agentic AI capabilities with robotic process automation (RPA) using UiPath (and related tools).
• Hands-on technical leader, you will architect scalable solutions, guide technical strategy, mentor engineers, and ensure quality, security, and performance of delivered systems.
• Architect agentic AI systems that can perceive, reason, plan, and act autonomously, integrated with UiPath bots.
• Design end-to-end workflows combining UiPath Studio / Orchestrator, intelligent agents (LLMs / AI components), APIs, and upstream / downstream systems.
• Define patterns, standards, reusable components, libraries, and templates for agentic workflows.
• Lead or contribute directly to development of complex automations, including custom activities, workflows, AI / ML model integration, etc.
• Work with unstructured data (NLP, Computer Vision, OCR, etc.), apply ML / NLP pipelines, integrate them into the UiPath automation stack.
• Drive adoption of newer AI / GenAI capabilities : prompt engineering, retrieval-augmented generation, tool invocation, agent orchestration.
• Handle integrations with external systems (APIs, databases, web services, cloud services).
• Lead a team of developers / automation engineers; conduct design / code reviews; enforce best practices.
• ensure compliance, auditability, permissions, privacy, data security in automated / agentic systems.
• Strong experience with UiPath (Studio, Orchestrator, Actions, Document processing etc.).
• Solid programming skills (Python ideally, possibly .NET / C# / VB.NET ).
• Familiarity with LLMs, Generative AI, agent frameworks (prompting, RAG, tool usage etc.).
• Good understanding of APIs, databases, service integration.
• Good communication skills, both technical and non-technical.
• Healthcare based automation implementation is preferred