Job Description

ROLE OVERVIEW The UiPath AI Architect will define and drive the AI-augmented automation strategy across all delivery clusters. This horizontal role spans the entire automation practice, enabling clients to evolve from traditional RPA to intelligent, AI-first automation. The role has a strong focus on healthcare AI transformation, pre-sales technical leadership, and product integration across the UiPath AI platform. ROLE DETAILS Location Offshore (India) – Horizontal/Cross-Cluster Role Reports To Associate Director – UiPath Offshore / Delivery Partner Experience 12–16 Years (AI/ML + UiPath 5+ Years) Engagement Type Horizontal Practice | Pre-sales | Client Strategy Domain Healthcare – Payer, Provider, Integrated Health Systems KEY RESPONSIBILITIES • Define and own the AI-augmented automation strategy for the UiPath practice across all delivery clusters. • Architect end-to-end intelligent automation solutions using UiPath AI Center, Document Understanding, Process Mining, and Autopilot. • Lead AI transformation initiatives for healthcare clients – integrating automation with EHR platforms (EPIC, Trizetto, FACETS). • Develop AI use-case frameworks for Payer (claims processing, prior auth, member services) and Provider (clinical workflows, revenue cycle) domains. • Partner with pre-sales and solutions teams to design AI-led proposals, POCs, and demo environments for client pursuits. • Stay ahead of UiPath product roadmap (Agentic Automation, LLM integrations, Communication Mining) and translate to client value propositions. • Build reusable AI accelerators, templates, and automation assets for the practice library. • Mentor delivery teams on AI/ML integration patterns, model governance, and production deployment of intelligent bots. • Collaborate with the AI Architect counterpart (onshore/presales) to align technical strategy with go-to-market positioning. REQUIRED SKILLS & EXPERIENCE • 5+ years of deep UiPath architecture experience including AI Center, ML Models, Document Understanding, and Task Mining. • Strong foundation in AI/ML – model training, NLP, LLM integration, and GenAI tooling (OpenAI, Azure AI, AWS Bedrock). • Proven ability to design and implement AI transformation roadmaps for enterprise healthcare clients. • Healthcare domain expertise: EPIC workflows, FACETS/Trizetto, claims automation, PA (Prior Authorization), and revenue cycle automation. • Experience delivering AI-powered automation in HIPAA-compliant environments with appropriate data governance. • Hands-on experience with UiPath Autopilot, Agentic Automation, and Communication Mining. • Strong client-facing skills – ability to present AI strategies to C-level stakeholders and technical audiences alike. • Contribution to RFP responses, technical proposals, and architecture review boards. GOOD TO HAVE • UiPath Certified Solution Architect or AI/ML specialist certification. • Experience with HL7/FHIR standards and healthcare interoperability in automation context. • Published thought leadership (whitepapers, webinars) on AI-led automation in healthcare. Requirements ROLE OVERVIEW The UiPath AI Architect will define and drive the AI-augmented automation strategy across all delivery clusters. This horizontal role spans the entire automation practice, enabling clients to evolve from traditional RPA to intelligent, AI-first automation. The role has a strong focus on healthcare AI transformation, pre-sales technical leadership, and product integration across the UiPath AI platform. ROLE DETAILS Location Offshore (India) – Horizontal/Cross-Cluster Role Reports To Associate Director – UiPath Offshore / Delivery Partner Experience 12–16 Years (AI/ML + UiPath 5+ Years) Engagement Type Horizontal Practice | Pre-sales | Client Strategy Domain Healthcare – Payer, Provider, Integrated Health Systems KEY RESPONSIBILITIES • Define and own the AI-augmented automation strategy for the UiPath practice across all delivery clusters. • Architect end-to-end intelligent automation solutions using UiPath AI Center, Document Understanding, Process Mining, and Autopilot. • Lead AI transformation initiatives for healthcare clients – integrating automation with EHR platforms (EPIC, Trizetto, FACETS). • Develop AI use-case frameworks for Payer (claims processing, prior auth, member services) and Provider (clinical workflows, revenue cycle) domains. • Partner with pre-sales and solutions teams to design AI-led proposals, POCs, and demo environments for client pursuits. • Stay ahead of UiPath product roadmap (Agentic Automation, LLM integrations, Communication Mining) and translate to client value propositions. • Build reusable AI accelerators, templates, and automation assets for the practice library. • Mentor delivery teams on AI/ML integration patterns, model governance, and production deployment of intelligent bots. • Collaborate with the AI Architect counterpart (onshore/presales) to align technical strategy with go-to-market positioning. REQUIRED SKILLS & EXPERIENCE • 5+ years of deep UiPath architecture experience including AI Center, ML Models, Document Understanding, and Task Mining. • Strong foundation in AI/ML – model training, NLP, LLM integration, and GenAI tooling (OpenAI, Azure AI, AWS Bedrock). • Proven ability to design and implement AI transformation roadmaps for enterprise healthcare clients. • Healthcare domain expertise: EPIC workflows, FACETS/Trizetto, claims automation, PA (Prior Authorization), and revenue cycle automation. • Experience delivering AI-powered automation in HIPAA-compliant environments with appropriate data governance. • Hands-on experience with UiPath Autopilot, Agentic Automation, and Communication Mining. • Strong client-facing skills – ability to present AI strategies to C-level stakeholders and technical audiences alike. • Contribution to RFP responses, technical proposals, and architecture review boards. GOOD TO HAVE • UiPath Certified Solution Architect or AI/ML specialist certification. • Experience with HL7/FHIR standards and healthcare interoperability in automation context. • Published thought leadership (whitepapers, webinars) on AI-led automation in healthcare.