1 day ago
Base Salary
$121k - $132k/yr
Responsibilities
- Design, develop, and guide deployment of Agentic AI solutions for enterprise customers, particularly Office of Finance use cases.
- Translate business, data, process, security, and control requirements into scalable AI/ML architectures and implementation plans.
- Prototype and implement AI agents and agentic workflows integrating LLMs, enterprise data, APIs, tools, applications, and automation platforms.
- Integrate solutions with Alteryx Designer, Server, Alteryx One, cloud data platforms, AI/ML services, and enterprise systems of record.
- Establish production-ready patterns for human-in-the-loop controls, access management, evaluation, observability, auditability, reliability, and responsible AI governance.
- Guide customer solutions from discovery and proof of concept through production, operationalization, and adoption.
- Partner with Sales, Solutions Engineering, Professional Services, and customer stakeholders to shape opportunities and connect technical solutions to business outcomes.
- Create customer-facing architecture documentation, implementation guidance, reusable solution patterns, and technical enablement materials.
- Contribute to Agentic AI standards, delivery practices, and accelerators across Professional Services.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.
- At least 5 years of experience in a customer-facing technical role such as Solutions Architect, AI/ML Architect, Consultant, Technical Account Manager, or Presales Engineer.
- At least 3 years of experience in enterprise AI/ML architecture focused on Agentic AI development and deployment.
- Demonstrated experience designing and implementing enterprise AI, data, analytics, or automation solutions and moving them into production.
- Experience working directly with enterprise customers and navigating complex stakeholder environments.
- Hands-on experience with AI agents, agent orchestration, tool use, LLMs, RAG, API-based integrations, AI governance, security, evaluation, observability, and model and prompt lifecycle management.
- Strong working knowledge of Alteryx Designer, Server, and Alteryx One is preferred; comparable enterprise analytics platform experience may also be considered.
- Experience with Office of Finance, accounting, banking, SOX-compliant environments, financial services, or other regulated-business use cases is preferred.
- Experience integrating AI solutions with enterprise data platforms and cloud ecosystems such as GCP, AWS, Azure, Snowflake, or Databricks.
- Working knowledge of modern software and data engineering practices, Python or similar languages, version control, and cloud-native deployment patterns.
- Strong communication, problem-solving, and stakeholder management skills across technical and business audiences.
- Ability to travel up to 20%.
Benefits
- Remote-friendly position with up to 20% travel.
- Benefits may include medical, retirement, financial, wellness, paid time off, employee discounts, and other programs.
- Additional compensation such as a bonus may be available.
Tech Stack
Categories
Solutions Engineering
About Alteryx
Alteryx builds an analytics automation platform used by analysts, data engineers, and data scientists to prepare, blend, and analyze data with code-optional tools. Its products, including Alteryx Designer plus cloud and server offerings, are sold primarily via subscriptions for on-premises and SaaS deployments across enterprises. Founded in 1997 and headquartered in Irvine, California, Alteryx is privately held under Clearlake Capital.