UiPath/Automation AI Architect

GenzeonHyderabad, TelanganaHybridFull-timeStaff, 8–12 yearsListed 2 days ago

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About this role

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.