Principal Specialist Customer Engineer, Platform & AI/ML

Alteryx is searching for a Principal Customer Specialist in Platform & AI/ML, seeking innovative problem solvers to join their team. The role involves strategic architectural leadership in AI-enabled analytics solutions, acting as a technical champion for global initiatives, and leading the design and integration of AI/ML lifecycles.

Responsibilities:

• Strategic Architectural Leadership: Strategically architect complex, modern-stack AI-enabled analytics solutions, providing the technical thought leadership required to align global enterprise needs with C-suite business objectives
• Enterprise Visionary: Act as the lead technical champion for Alteryx One global initiatives, utilizing advanced creativity and ingenuity to design resilient, AI-integrated enterprise frameworks
• AI Lifecycle Orchestration: Lead the design and integration of end-to-end AI/ML lifecycles, specializing in the orchestration of Large Language Models (LLMs) within high-scale data pipelines and complex MCP server environments
• Autonomous Agent Design: Spearhead cross-functional initiatives to design and implement autonomous agentic workflows that solve unstructured data challenges across multi-cloud ecosystems
• Governance & Data Integrity: Govern the implementation of sophisticated ETL, Data Quality, and Alteryx strategies to ensure the delivery of high-fidelity, model-ready data for enterprise AI applications
• Technical Mentorship & Policy: Serve as a mentor to senior and junior Sales Engineering staff, formalizing technical best practices and influencing product and GTM organizational policies regarding modern enterprise technologies

Requirements:

• Minimum of 10 years of professional functional experience, including at least 5 years of specific expertise in AI/ML solutions architecture and enterprise cloud strategy
• Advanced LLM & Generative AI Expertise: Proven track record in the design and deployment of LLM-based applications, including but not limited to custom Retrieval-Augmented Generation (RAG) solutions and architectures and model fine-tuning within enterprise frameworks like Gemini Enterprise or SageMaker ML
• Programming & API Proficiency: Expert-level skills in Python or Java are required for custom AI development, alongside a mastery of API services and orchestration tools
• Expert-level architectural proficiency and professional certifications with one of the 'Big Three' cloud ecosystems and working knowledge of the others: Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure
• AI Data Warehouse Specialization: Deep technical expertise in architecting AI solutions that leverage Cloud Data Warehouses (CDW) and lakehouses, with a specific requirement for proficiency in BigQuery ML, Databricks, or Snowflake integrations
• Enterprise Security Authority: Strong command of modern enterprise security frameworks and regulatory requirements for ensuring all AI-driven analytics solutions meet rigorous global data governance and compliance standards
• Experience with AI/ML frameworks and LLM-based applications in enterprise environments (eg; Gemini Enterprise, Sagemaker ML, Databricks, Anthropic, OpenAI)
• Expertise with MCP server integration and orchestration tools
• Formal Education: Four-year college degree in Computer Science, Data Science, or a related technical field, or equivalent high-level industry experience
• Advanced working knowledge of API services and integrations
• Expert skills in ETL (Extract, Transform, Load), Data Quality, and Alteryx
• Alteryx Solution ACE Certification Preferred or 'black belt' in data preparation