Principal EMEA AI TokenOps Solution Architect

In this role you guide strategic, executive-aligned AI and cloud transformations for the EMEA region within the Frontier Transformation framework. You lead architecture discussions, govern delivery, and shape scalable TokenOps solutions that address sovereignty, security, Responsible AI, and regulatory needs. You’ll balance technical design with business outcomes, driving production-grade deployments and reusable regional patterns. This is a high-impact, cross-functional leadership role that shapes enterprise AI governance and economics at scale.

• Shape strategic EMEA TokenOps opportunities with executive alignment and measurable outcomes
• Lead architecture workshops and governance forums across business, technology, security, data, risk and finance
• Define target Azure AI Foundry architecture for agents, RAG, model access, orchestration, and enterprise operations
• Guide pilots and prototypes to test high-risk assumptions and establish production-ready paths
• Define model routing and evaluation strategies balancing quality, latency, resilience, cost, explainability, and regulatory expectations
• Establish TokenOps observability linking agent/model behavior to tokens, costs, controls and outcomes
• Use FinOps unit economics to frame architecture tradeoffs and scale decisions for executives
• Direct data, API, identity, network, security, and Responsible AI architecture across estates and partners
• Translate GDPR, EU AI Act, sovereignty, data-residency requirements into actionable controls
• Provide principal-level technical leadership, governance, and coaching across EMEA engagements
• Create reusable regional patterns and feed requirements into global TokenOps roadmap

• Bachelor's or Master's in a technical field, or equivalent experience
• Principal-level leadership of complex AI or cloud transformations across EMEA
• Deep knowledge of Azure AI Foundry and production architectures for enterprise AI, agents, and RAG
• Experience designing model routing, evaluation, observability, and governance for AI systems
• Ability to connect FinOps unit economics and telemetry to executive decisions
• Strong data, API, identity, network, security, and enterprise integration architecture
• Demonstrated application of security and Responsible AI requirements
• Working knowledge of GDPR, EU AI Act, sovereignty, data residency and related regulatory considerations
• Executive communication, architecture governance, and consulting judgment

• Executive communication
• architecture governance
• consulting judgment
• Azure AI Foundry
• agents and RAG patterns
• model routing and evaluation