AI Platform Engineer

Job not on LinkedIn

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $137k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

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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

• Configure and support enterprise AI platforms, including OpenAI, Anthropic, Google, and related AI tooling. • Define approved access patterns for LLMs, APIs, MCP, agents, connectors, RAG, automation, and human-in-the-loop workflows. • Partner with business teams to assess AI use cases, clarify outcomes, evaluate feasibility, and recommend the right solution pattern. • Lead or co-lead lighthouse AI projects that prove reusable enterprise patterns and demonstrate measurable business value. • Create solution blueprints for priority AI use cases, including architecture, data needs, access patterns, risk, cost, support model, and production readiness. • Establish cost management, usage tracking, agent visibility, and oversight infrastructure. • Define evaluation approaches for AI solutions, including quality checks, test cases, usage metrics, human review points, failure handling, and improvement loops. • Package successful pilots into reusable reference architectures, implementation templates, and transition plans for production support. • Partner with security, privacy, legal, architecture, data, and IT teams on governance, risk review, and standards. • Advise business leads and citizen developers on when AI solutions can remain team-owned versus when they require enterprise ownership, controls, monitoring, and support. • Work with the AI Enablement Analyst to convert platform capabilities into training, documentation, FAQs, playbooks, and support processes. • Enable Help Desk readiness for setup, initial troubleshooting, common questions, and escalation paths.

🎯 Requirements

• Experience in solution engineering, platform engineering, enterprise applications, cloud, integration, automation, identity, data, or related technology roles. • Hands-on familiarity with LLM platforms, APIs, agents, RAG, workflow automation, or AI tooling. • Understanding of enterprise security, privacy, access control, governance, and audit readiness. • Ability to translate business use cases into secure, scalable, reusable solution patterns. • Strong communication skills across business, technical, governance, and executive stakeholders. • Able to operate in a fast-moving AI environment. • Drive for clarity to deliver objectives. • Experience with platforms such as OpenAI, Anthropic, Google, Workato, n8n, Zapier, Power Automate, Make, or similar tools.

🏖️ Benefits

• Medical, dental, and vision coverage • 401(k) with company match • Paid parental leave, caregiver leave, and flexible time off • Mental health support and wellness reimbursement • Career development and education assistance • Monthly Connectivity Plus stipend of $150 • Annual $200 home office reimbursement