Senior Solution Architect, Professional Services – Agentic AI

🕒 Setembro 30

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $121.375 - $132.190 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Alteryx

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🏥 Saúde

🏭 Manufatura

Consulting • Healthcare • Manufacturing

A Alteryx é uma empresa líder em soluções de analytics para empresas que capacitam organizações a extrair insights valiosos de seus dados. Com sua plataforma de analytics com IA, a Alteryx automatiza os processos de preparação de dados, análise e geração de relatórios, tornando o analytics acessível a usuários de todos os níveis. A plataforma oferece recursos como enriquecimento de dados, modelagem preditiva e Location Intelligence, permitindo que as empresas melhorem a eficiência operacional e impulsionem a tomada de decisões informadas em diversos setores, incluindo serviços financeiros, varejo, saúde e manufatura.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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