Senior Enterprise AI Architect for Agentic Solutions

Alteryx Czech Republic s.r.o.

United States

Remote

USD 161,000 - 175,000

Full time

8 days ago

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Job summary

Alteryx is seeking a Lead Architect, Professional Services - Agentic AI Solutions to guide enterprise AI/ML engagements, architecture, and delivery. This senior role focuses on Agentic AI solution design and deployment, mentoring other architects, and collaborating with Sales, Solutions Engineering, and executives to drive measurable business outcomes.

The position emphasizes Office of Finance use cases, regulated environments, security, auditability, and reliability, with remote-friendly work

Qualifications

Bachelor's degree or equivalent practical experience.
7+ years in technical architecture or enterprise AI/ML roles.
3+ years in AI/ML enterprise architecture focusing on Agentic AI.
Proven experience leading complex enterprise customer engagements.
Mentor architects and influence technical direction.
Executive communication and stakeholder engagement skills.
Experience partnering with Sales/Presales to shape opportunities.
Experience with Alteryx Designer/Server/One in enterprise ecosystems.
Experience in Office of Finance or regulated environments is preferred.
Willingness to travel up to 25%.

Responsibilities

Lead architecture, development, and deployment for complex enterprise Agentic AI solutions with emphasis on Office of Finance workflows.
Own technical direction for multi-workstream AI/ML engagements, ensuring scalability, security, and production-readiness.
Guide AI agents and multi-agent workflows integrating LLMs, data, APIs, tools, apps, and automation platforms.
Lead architecture reviews and decisions across Alteryx Designer/Server/One and cloud AI services.
Define production-readiness patterns for security, governance, observability, and reliability.
Escalation point for challenging AI architecture scenarios and critical deployments.
Partner with Sales and Solutions Engineering during strategic opportunities to shape approaches.
Engage executives to translate strategic objectives into AI roadmaps and plans.
Mentor architects and provide guidance on enterprise AI delivery practices.
Create reusable reference architectures, patterns, accelerators, and governance guidance.
Stay current on evolving AI tech and guide adoption across the organization.