UI Path Tech Lead + Agentic AI

24 hours ago

bangalore, India Zyoin Group Full time

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

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