5 days ago
Remote, United Kingdom +4 moreStaff+
Responsibilities
- Shape strategic EMEA TokenOps opportunities around executive priorities, regulatory obligations, transformation scope, and measurable outcomes.
- Lead architecture workshops and governance forums involving business, technology, security, data, risk, and finance stakeholders.
- Set Azure AI Foundry architectures for agents, RAG, model access, orchestration, integration, and enterprise operations.
- Guide pilots and prototypes from high-risk assumption testing through production and scale.
- Define model routing, evaluation, observability, and operational-governance strategies balancing quality, latency, resilience, cost, explainability, and regulatory expectations.
- Use FinOps unit economics and technical telemetry to guide architecture tradeoffs, investment decisions, operating models, and scale choices.
- Direct data, API, identity, network, security, Responsible AI, and enterprise-integration architecture.
- Translate GDPR, EU AI Act, sovereignty, and data-residency requirements into architecture and delivery controls.
- Provide principal-level technical leadership, design assurance, escalation support, and coaching across EMEA engagements.
- Create reusable regional architecture and delivery patterns and contribute field requirements to global product and practice roadmaps.
Requirements
- Bachelor's or Master's degree in a technical field, or equivalent experience, with significant experience in enterprise solution architecture.
- Principal-level leadership of complex AI or cloud transformations spanning multiple business units, technology domains, or delivery organizations across EMEA.
- Deep knowledge of Azure AI Foundry and production architectures for enterprise AI, agents, and RAG solutions.
- Experience designing model routing, evaluation, observability, and operational-governance capabilities for AI systems.
- Ability to connect FinOps unit economics, technical telemetry, and architecture decisions to executive investment and scale decisions.
- Strong expertise in data, API, identity, network, security, and enterprise-integration architecture.
- Demonstrated application of security and Responsible AI requirements throughout architecture and delivery.
- Working knowledge of GDPR, the EU AI Act, sovereignty, data residency, and related EMEA regulatory considerations.
- Executive communication, architecture governance, and consulting judgment for ambiguous, high-stakes customer decisions.
- Azure Solutions Architect certification or equivalent recognized architecture expertise is preferred.
- Preferred experience includes multi-country EMEA delivery, sovereign-cloud contexts, regional architecture standards, agent and RAG evaluation, transformation roadmaps, AI economics, executive stakeholder communication, coaching, escalation leadership, and engagement planning.
Benefits
- The typical base pay range is £96,400.00–£195,100.00 per year in the United Kingdom.
- Certain roles may be eligible for benefits and other compensation.
Categories
Solutions Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.