UiPath
Principal AI Architect, Sales - Life Sciences
Remote-Texas · Principal
No sponsorshipDetected 15 days ago
LLMsAgentic AIMedical DevicesResearchCommunication
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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Files H-1B transfers
7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works.
- We're committed to creating category-leading enterprise software that unleashes that power.
- To make that happen, we need people who are curious, self-propelled, generous, and genuine.
Responsibilities
- Lead strategic discussions with CIOs, CTOs, Chief AI Officers, Enterprise Architects, and digital transformation leaders.
- Understand how organizations are building AI platforms, agent frameworks, copilots, knowledge architectures, orchestration layers, and governance models.
- Develop future-state architecture and operating model recommendations that support scalable and sustainable enterprise AI adoption.
Requirements
- Candidates must be authorized to work in the United States for this role.
Nice to have
- Serve as a trusted advisor to executive leaders on enterprise AI, automation, agentic transformation, and technology strategy.
- Articulate how UiPath fits within broader enterprise AI ecosystems and how Agentic Automation complements existing investments in AI, cloud, and enterprise technologies.
- Translate emerging developments in AI, automation, large language models, and agentic technologies into practical business opportunities and transformation initiatives.
- 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.
Benefits
- Preferred experience working with global life sciences organizations, including pharmaceutical, biotechnology, medical device, or contract research organizations.
Company info
- People who love being part of a fast-moving, fast-thinking growth company.
- YOUR MISSION At UiPath, we believe the future of enterprise transformation lies in the convergence of AI, automation, agents, people, and enterprise systems.
- Help customers define long-term AI, automation, and agentic transformation roadmaps aligned to business, operational, and innovation objectives.
- Guide customers through critical architecture decisions including agents versus workflows versus automation, centralized versus decentralized AI models, and governance and control frameworks.
- Advise customers on AI governance, risk management, compliance, security, and operationalization strategies.
- 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.
- At UiPath, we believe the future of enterprise transformation lies in the convergence of AI, automation, agents, people, and enterprise systems.
Visa & Work Authorization
- Candidates must be authorized to work in the United States for this role.
This listing is sourced directly from UiPath's careers page and normalized into a canonical job model.