Analyze customer's business and systems, understanding their data analytics and technology needs
Provide technical thought leadership for tailoring, developing, and implementing complex modern stack AI-enabled analytics products and solutions
Work independently with minimal supervision, showcasing strong technical knowledge and expertise in modern enterprise technologies, particularly AWS/GCP/Azure (experience with other cloud platforms will also be valuable)
Coach and review the work of junior professionals, providing guidance and mentorship on AI and modern enterprise stack specific technical features
Influence and guide others regarding policies, practices, and procedures in the context of modern enterprise technologies
Act as a champion for Alteryx One projects, programs, and business initiatives, using demonstrated creativity and ingenuity in designing and implementing AI and modern enterprise solutions
Collaborate on initiatives involving AI/ML and large language models (LLMs), contributing to solution design and integration strategies
Support integration of Alteryx solutions with MCP server environments and enterprise-scale data pipelines
Requirements:
Possess a strong functional knowledge of hyper-scaler technologies (ie specialization in AWS, Azure, or GCP)
Deep understanding of enterprise AI and LLM technologies and integrations
Strong skills in modern enterprise architecture and security, including knowledge of best practices and frameworks
Alteryx Solution ACE Certification Preferred
Required Google Dataprep black belt certified
Showcase exceptional subject matter expertise in modern enterprise technologies, including but not limited to cloud platforms, cloud data warehouses, LLM models and services with an always-be-learning approach to staying up-to-date with the latest advancements and certifications in these platforms
Alteryx ACE certification and implementation of the Alteryx Designer or Server solutions are highly desirable and would be considered a plus
Desired skills in Python or Java are highly desirable and would be considered a plus
Working knowledge of APIservices and integrations
Expert skills in ETL (Extract, Transform, Load), Data Quality), and Alteryx are considered a plus
Required experience with AI/ML frameworks and LLM-based applications in enterprise environments (eg AWS Sagemaker, Datarobot, H20, VertexAI, Anthropic, OpenAI)
Required expertise with MCP server integration and orchestration tools is a must
Bachelors degree (or additional relevant experience in a related field)
Minimum 8 years functional experience including a minimum of 3 years specific experience required
