Lead Solution Architect, Professional Services – Agentic AI

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $160.5k - $174.8k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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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

• Lead architecture, development, and deployment for complex enterprise Agentic AI solutions, especially Office of Finance use cases and workflows • Own technical direction for multi-workstream AI/ML engagements • Guide AI agent and multi-agent workflow design integrating LLMs, enterprise data, APIs, tools, applications, and automation platforms • Lead architecture reviews and technical decision-making across Alteryx Designer, Server, Alteryx One, cloud AI/ML services, data platforms, and enterprise systems • Define production-readiness patterns for security, governance, human-in-the-loop controls, evaluation, observability, auditability, reliability, cost, and performance • Serve as senior technical escalation point for challenging AI architecture scenarios and critical deployment decisions • Partner with Sales and Solutions Engineering on strategic opportunities, solution approaches, feasibility, scoping, and business outcomes • Engage customer executives, business leaders, and technical stakeholders to develop AI roadmaps and deployment plans • Mentor architects and provide technical guidance on enterprise AI/ML architecture, Agentic AI development, and customer delivery • Create reusable reference architectures, solution patterns, accelerators, governance guidance, and enablement resources • Evaluate emerging AI technologies, patterns, and approaches for enterprise adoption

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field, or equivalent practical experience • 7+ years of experience in technical architecture, consulting, enterprise AI/ML, data, analytics, or automation implementation roles • 3+ years of experience in AI/ML enterprise architecture focused on Agentic AI development and deployment • Experience leading complex enterprise customer engagements and technical decisions across multiple stakeholders or workstreams • Ability to mentor technical professionals, establish architecture standards, and influence technical direction without direct authority • Strong executive communication and stakeholder engagement skills • Experience partnering with Sales or Presales teams on strategic technical opportunities and delivery feasibility • Strong expertise with Alteryx Designer, Server, and Alteryx One is strongly preferred • Experience with Office of Finance, accounting, banking, SOX-compliant environments, or similar regulated business use cases is preferred • Ability to travel up to 25% • Deep experience designing enterprise AI/ML architectures and leading Agentic AI development and deployment • Experience with AI agents, multi-agent systems, orchestration, tool use, LLMs, RAG, and API-based integrations • Experience moving complex AI solutions from proof of concept through production deployment, operationalization, and scale • Strong understanding of enterprise AI governance, security, model risk, evaluation, observability, human oversight, auditability, and lifecycle management • Experience with cloud and data ecosystems such as GCP, AWS, Azure, Snowflake, Databricks, or similar technologies • Strong knowledge of enterprise integration patterns, APIs, data architectures, identity and access controls, and cloud-native deployment practices • Experience leading complex technical engagements, architecture reviews, or multi-workstream implementations with senior customer stakeholders • Ability to balance innovation with reliability, security, governance, cost, and operational supportability • Capacity to serve in compliance with U.S. export controls

🏖️ Benefits

• Additional compensation, such as a bonus, may be available • Medical benefits • Retirement benefits • Financial benefits • Wellness benefits • Time off • Employee discounts • Remote-friendly work arrangement • Growth mindset support throughout associates’ careers