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Alteryx

Self-service data analytics platform for teams

Lead Solution Architect - Professional Services, Agentic AI

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.
  • At least 7 years of experience in technical architecture, consulting, enterprise AI/ML, data, analytics, or automation implementation roles.
  • At least 3 years of experience in AI/ML enterprise architecture focused on Agentic AI development and deployment.
  • Experience leading complex enterprise customer engagements and making technical decisions across multiple stakeholders or workstreams.
  • Ability to mentor technical professionals, establish architecture standards, and influence technical direction without direct authority.
  • Executive communication and stakeholder engagement skills, including connecting architecture decisions to business outcomes.
  • Experience partnering with Sales or Presales teams to shape strategic technical opportunities and validate delivery feasibility.
  • Deep experience designing enterprise AI/ML architectures and leading Agentic AI development and deployment, including AI agents, multi-agent systems, orchestration, tool use, large language models, retrieval-augmented generation, and API-based integrations.
  • Experience moving complex AI solutions from proof of concept through production deployment, operationalization, and scale.
  • Strong understanding of enterprise AI governance, security, model risk, evaluation, observability, human oversight, auditability, and lifecycle management.
  • Experience designing AI solutions across cloud and data ecosystems such as Google Cloud Platform, AWS, Azure, Snowflake, Databricks, or similar technologies.
  • Knowledge of enterprise integration patterns, APIs, data architectures, identity and access controls, and cloud-native deployment practices.
  • Experience leading complex technical engagements, architecture reviews, or multi-workstream implementations with senior customer stakeholders.
  • Ability to balance innovation with enterprise requirements for reliability, security, governance, cost, and operational supportability.
  • Ability to travel up to 25%.

Responsibilities

  • Lead architecture, development, and deployment for complex enterprise Agentic AI solutions, particularly Office of Finance use cases and workflows.
  • Own technical direction for multi-workstream AI/ML engagements, ensuring solutions are scalable, secure, production-ready, and aligned with customer business objectives.
  • Guide the design of AI agents and multi-agent workflows that integrate large language models, enterprise data, APIs, tools, applications, and automation platforms.
  • Lead architecture reviews and technical decision-making across Alteryx Designer, Server, and the Alteryx One enterprise analytics platform, together with cloud AI/ML services, modern data platforms, and enterprise systems of record.
  • Define production-readiness patterns for security, governance, human-in-the-loop controls, evaluation, observability, auditability, reliability, cost, and performance.
  • Serve as a senior technical escalation point for challenging AI architecture scenarios, high-risk engagements, and critical deployment decisions.
  • Partner with Sales and Solutions Engineering during strategic opportunities to shape solution approaches, validate feasibility, support scoping, and connect technical design to measurable business outcomes.
  • Engage customer executives, business leaders, and technical stakeholders to translate strategic objectives into practical AI roadmaps and deployment plans.
  • Mentor architects and provide technical guidance on enterprise AI/ML architecture, Agentic AI development, and customer delivery practices.
  • Create and evolve reusable reference architectures, solution patterns, accelerators, governance guidance, and internal enablement resources.
  • Stay current on the evolving AI ecosystem and help the organization evaluate emerging technologies, patterns, and approaches for enterprise adoption.

Desired Qualifications

  • Strong expertise with Alteryx Designer, Server, and the Alteryx One enterprise analytics platform, including experience integrating Alteryx into complex enterprise data, cloud, automation, and AI ecosystems.
  • Experience supporting Office of Finance, accounting, banking, SOX-compliant environments, or similar financial services and regulated business use cases.

About the Company

Alteryx

Self-service data analytics platform for teams

Summary of Alteryx: 1) What it does: Alteryx provides a self-service data analytics platform that helps users across business roles transform data into actionable insights, with capabilities for data preparation, blending, and advanced analytics. It serves diverse industries and uses a subscription-based business model, plus professional services and training. 2) How it works: The platform offers a user-friendly interface that automates complex data tasks, enabling users from data scientists to business analysts to prepare, blend, and analyze data to generate insights. 3) How it differs from competitors: It emphasizes democratizing analytics—making powerful data tools accessible to non-technical users through an easy-to-use, automated workflow, suitable for many industries and integrated within a subscription framework. 4) Goal: To accelerate analytics transformation and help organizations make faster, better business decisions by turning data into actionable insights.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Irvine, CA
Founded
2010

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