Manager, Global AI Enterprise Architect

🔥 13 hours ago

🏄 California, Colorado, +8 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote ☕ Washington – Remote

💵 $164k - $195k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Avanade

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Avanade is a provider of cloud-based link management and digital connection tools, offering URL shortening, QR code generation (including dynamic and GS1 Digital Link support), mobile-friendly landing pages, link analytics, and APIs and integrations to manage and track customer interactions at scale. The platform targets businesses of all sizes with features like branded links, UTM campaign tracking, digital business cards, and enterprise-grade security and compliance, enabling marketing, developer, and customer service teams to create, customize, and analyze connections across channels.

📋 Description

• Contribute to the design of AI-enabled solution architectures within the Avanade Catalyst Solutions portfolio • Apply and help develop reusable patterns, reference architectures, and accelerators • Adapt pre-built AI solutions to support client needs and evolving market requirements • Ensure solutions meet standards for scalability, security, and production readiness • Collaborate with engineering and delivery teams to identify opportunities for AI-driven tools and methods • Support the development of repeatable, outcome-based services • Help drive consistency in how AI solutions are implemented across engagements • Support architecture and deployment of ready-made AI offerings • Partner with security, risk, and compliance teams to align with enterprise requirements • Provide guidance to delivery teams

🎯 Requirements

• Experience in solution architecture, enterprise architecture, or AI/ML solution delivery • Familiarity with Microsoft ecosystem technologies including Azure, data, and Power Platform • Experience supporting delivery of scalable and repeatable solutions • Ability to collaborate across engineering, product, and delivery teams • Strong analytical and communication skills

🏖️ Benefits

• medical • dental • vision • life • long-term disability coverage • 401(k) plan • bonus opportunities • paid holidays • paid time off