Principal AI Architect - Lifescience

- 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.

- 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.

- Exceptional executive presence, communication skills, and ability to influence strategic technology decisions.

- Strong storytelling capabilities with the ability to translate complex technical concepts into clear business outcomes.

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

- Candidates must be authorized to work in the United States for this role.