[Hiring] Senior Architect, Professional Services - Agentic AI Solutions @Alteryx

Role Description

The Senior Architect, Professional Services - Agentic AI Solutions is a highly technical, customer-facing enterprise AI/ML architect responsible for designing, developing, and guiding production-ready Agentic AI solutions across the Alteryx ecosystem and broader enterprise technology landscape.

As part of a new Professional Services team focused on Agentic AI development and deployment, this role partners directly with enterprise customers to:

• Move from discovery and solution architecture through prototyping, development, deployment, and operationalization.
• Emphasize Office of Finance use cases and regulated business environments.

Senior Architects work closely with:

• Sales
• Solutions Engineering
• Professional Services
• Customer stakeholders

They translate business needs into secure, scalable AI solutions that deliver measurable outcomes while meeting enterprise requirements for governance, control, reliability, and adoption.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field, or equivalent practical experience.
• 5+ years of experience in a customer-facing technical role such as Solutions Architect, AI/ML Architect, Consultant, Technical Account Manager, Presales Engineer, or similar role.
• 3+ years of experience in AI/ML enterprise architecture with a focus on Agentic AI development and deployment.
• Demonstrated experience designing and implementing enterprise AI, data, analytics, or automation solutions.
• Experience working directly with enterprise customers and navigating complex stakeholder environments.
• Strong working knowledge of Alteryx Designer, Server, and the Alteryx One enterprise analytics platform is strongly preferred.
• Experience supporting Office of Finance, accounting, banking, SOX-compliant environments, or similar financial services and regulated business use cases is preferred.
• Excellent communication, problem-solving, and stakeholder management skills across technical and business audiences.
• Ability to travel up to 20%.

Requirements

• Hands-on experience with enterprise AI/ML architectures and Agentic AI development, including AI agents, agent orchestration, tool use, large language models (LLMs), retrieval-augmented generation (RAG), and API-based integrations.
• Experience moving AI solutions from prototype or proof of concept into secure, scalable, production-ready deployments.
• Strong understanding of AI governance, security, evaluation, observability, model and prompt lifecycle management, and human oversight patterns.
• Experience integrating AI solutions with enterprise data platforms and cloud ecosystems such as Google Cloud Platform (GCP), AWS, Azure, Snowflake, Databricks, or similar technologies.
• Working knowledge of modern software and data engineering practices, including Python or similar languages, APIs, version control, CI/CD, and cloud-native deployment patterns.
• Ability to communicate complex AI concepts and architecture decisions clearly to both technical and business audiences.

Benefits

• Medical benefits
• Retirement plans
• Financial wellness programs
• Time off
• Employee discounts
• Additional compensation such as bonuses