Senior AI Platform Architect

Domino's Pizza; Ann Arbor Charter Township (MI); Sur place; USD 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

Paid Holidays and Vacation

Medical, Dental & Vision benefits

No-cost mental health support

No-cost fitness, nutrition and welfare

Fertility benefits

Adoption assistance

401k matching contributions

15% off stock price

Company bonus

Résumé du poste

Domino’s Lead AI Architect will own the enterprise AI reference architecture, spanning classical AI, generative AI, and agentic AI. You’ll set direction, governance, and build-depth decisions to deliver scalable, secure AI capabilities across the enterprise.

This hands-on senior role requires delivering prototypes, reference implementations, and tooling to enable teams while balancing latency, costs, and data governance in an Azure-first environment.

Qualifications

• Deep enterprise architecture and systems-design experience across applications, data, APIs and operations.
• Strong foundations in AI, ML, NLP, and generative AI, with production-scale delivery experience.
• Security, governance, and compliance thinking baked into architecture from day one.

Responsabilités

• Own enterprise AI reference architecture end-to-end with scalable standards and design patterns.
• Define roadmap for agentic systems platforms and build-depth decisions for use cases.
• Lead memory, context management, and tool/agent integration with governance and traceability.
• Shape evaluation, benchmarking, and cost-conscious AI compute strategy.

Connaissances

Enterprise architecture leadership

AI platforms design

Distributed systems

MLOps/LLMOps

Azure Databricks integration

Formation

Bachelor’s or higher in CS/EE/Math

Outils

Azure

Databricks

Kubernetes

Description du poste

Domino’s Lead AI Architect will own the enterprise AI reference architecture, spanning classical AI, generative AI, and agentic AI. You’ll set direction, governance, and build-depth decisions to deliver scalable, secure AI capabilities across the enterprise.

This hands-on senior role requires delivering prototypes, reference implementations, and tooling to enable teams while balancing latency, costs, and data governance in an Azure-first environment.