Senior Solution Architect, Professional Services – Agentic AI

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $121.4k - $132.2k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Alteryx

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Alteryx is a leading provider of enterprise analytics solutions that empower organizations to unlock valuable insights from their data. With its AI-driven analytics platform, Alteryx automates the processes of data preparation, analysis, and reporting, making analytics accessible to users at all skill levels. The platform offers features such as data enrichment, predictive modeling, and location intelligence, enabling businesses to improve operational efficiency and drive informed decision-making across various sectors, including financial services, retail, healthcare, and manufacturing.

📋 Description

• Design, develop, and guide deployment of Agentic AI solutions for enterprise customers, emphasizing Office of Finance use cases and workflows • Translate business, data, process, security, and control requirements into scalable enterprise AI/ML architectures and implementation plans • Prototype and implement AI agents and agentic workflows connecting LLMs, enterprise data, APIs, tools, applications, and automation platforms • Design and deploy solutions integrating Alteryx Designer, Server, and Alteryx One with 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 • Partner with customer technical and business stakeholders to define success criteria, validate feasibility, and guide solutions from proof of concept into production • Partner with Sales and Solutions Engineering to shape strategic AI opportunities and connect technical solutions to business outcomes • Identify opportunities to expand adoption and value through additional AI, automation, and data use cases • Create customer-facing architecture documentation, implementation guidance, reusable solution patterns, and technical enablement materials • Share technical knowledge internally and contribute to Agentic AI standards, delivery practices, and Professional Services accelerators

🎯 Requirements

• 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 focused 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 Alteryx One, or comparable enterprise analytics platforms • 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% • Hands-on experience with enterprise AI/ML architectures and Agentic AI development, including AI agents, agent orchestration, tool use, LLMs, 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 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 technical and business audiences • Capacity to serve in compliance with U.S. export controls

🏖️ Benefits

• Additional compensation, such as a bonus • Medical benefits • Retirement benefits • Financial benefits • Wellness benefits • Time off • Employee discounts • Remote-friendly work arrangement • Growth mindset support through all career stages • Diverse, equitable, and inclusive workplace