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UiPath

Automates business processes with RPA software

Principal AI Architect - Sales, Life Sciences

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Extensive experience advising large enterprises on AI adoption, platform strategy, automation, or technology modernization initiatives.
  • Strong understanding of enterprise AI ecosystems, including AI platforms, cloud services, agent frameworks, orchestration technologies, workflow platforms, and automation solutions.
  • Ability to evaluate competing and complementary technologies and provide strategic guidance on architecture, operating models, and platform investments.
  • Experience helping organizations establish AI governance frameworks, operating models, and enterprise adoption strategies.
  • Strong understanding of how enterprises operationalize AI at scale, including platform management, organizational readiness, governance, and value realization.
  • Demonstrated success engaging executive stakeholders including CIOs, CTOs, Chief AI Officers, Enterprise Architects, and digital transformation leaders.
  • Candidates must be authorized to work in the United States for this role.
  • Ability to travel up to 25%.

Responsibilities

  • Serve as a trusted advisor to executive leaders on enterprise AI, automation, agentic transformation, and technology strategy.
  • Lead strategic discussions with CIOs, CTOs, Chief AI Officers, Enterprise Architects, and digital transformation leaders.
  • Help customers define long-term AI, automation, and agentic transformation roadmaps aligned to business, operational, and innovation objectives.
  • Understand how organizations are building AI platforms, agent frameworks, copilots, knowledge architectures, orchestration layers, and governance models.
  • Articulate how UiPath fits within broader enterprise AI ecosystems and how Agentic Automation complements existing investments in AI, cloud, and enterprise technologies.
  • Guide customers through critical architecture decisions including agents versus workflows versus automation, centralized versus decentralized AI models, and governance and control frameworks.
  • Develop future-state architecture and operating model recommendations that support scalable and sustainable enterprise AI adoption.
  • Advise customers on AI governance, risk management, compliance, security, and operationalization strategies.
  • Translate emerging developments in AI, automation, large language models, and agentic technologies into practical business opportunities and transformation initiatives.
  • Partner with internal Product, Go-To-Market, Technology Alliances, and Industry teams to ensure that our solutions are comprehensive and match the needs of our customers.
  • Represent UiPath as a thought leader through executive briefings, customer engagements, industry conferences, and market-facing events.
  • Share industry trends, best practices, and competitive insights across the UiPath organization.

Desired Qualifications

  • Preferred experience working with global life sciences organizations, including pharmaceutical, biotechnology, medical device, or contract research organizations.

About the Company

UiPath

Automates business processes with RPA software

UiPath creates software that helps businesses automate repetitive tasks using robotic process automation (RPA). Its products design AI-driven workflows, run bots, and manage automation in the cloud or on-premises. Customers license the software or subscribe to cloud services, receive professional support, and can access a marketplace of third-party integrations to extend the platform. The system works by letting users build and deploy automation workflows that coordinate across different applications, with a central orchestrator to schedule and monitor bots in real time. What sets UiPath apart is its large and growing ecosystem, extensive integrations, and scalable cloud-based orchestration that supports enterprise deployments across many industries. The goal is to reduce operating costs and raise productivity by expanding automated processes throughout organizations.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2005

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