The Frontier Transformation Framework helps customers become Frontier Firms: organizations where AI and agents operate as part of the business. TokenOps connects the architecture and economics of those systems to the governance expected by enterprise leaders and regulators. Within the Frontier Transformation team, this principal role leads that capability across EMEA's diverse markets and operating environments.
We are seeking a Principal EMEA AI TokenOps Solution Architect to shape strategic opportunities and lead customer architecture, delivery, and regional scale. You will provide principal-level direction for complex AI and cloud transformations, lead executive and technical decisions from workshop through production, and ensure that TokenOps solutions address sovereignty, security, Responsible AI, and economic accountability together.
This role is for an architect who can set direction across customers and delivery teams while remaining credible in detailed solution design. You will combine Azure AI Foundry, agent and RAG patterns, routing, evaluations, observability, FinOps unit economics, data and API integration, and EMEA regulatory requirements to create reusable regional architectures and delivery practices.
Responsibilities
Core Responsibilities
Shape the most strategic EMEA TokenOps opportunities, aligning executive priorities, regulatory obligations, transformation scope, and measurable customer outcomes.
Lead architecture workshops and governance forums that resolve complex decisions across business, technology, security, data, risk, and finance stakeholders.
Set the target Azure AI Foundry architecture for agents, RAG, model access, orchestration, integration, and enterprise operations.
Guide pilots and prototypes that test the highest-risk assumptions and establish an evidence-based path to production and scale.
Define model routing and evaluation strategies that balance quality, latency, resilience, cost, explainability, and regulatory expectations.
Establish TokenOps observability that connects agent and model behavior to tokens, costs, controls, service outcomes, and customer value.
Use FinOps unit economics to frame architecture tradeoffs, investment choices, operating models, and scale decisions for executive sponsors.
Direct data, API, identity, network, security, and Responsible AI architecture across complex customer estates and delivery partners.
Translate GDPR, EU AI Act, sovereignty, data-residency, and market-specific obligations into actionable architecture and delivery controls.
Provide principal-level technical leadership, design assurance, escalation support, and coaching across EMEA engagements.
Create reusable EMEA shaping and delivery patterns and feed regional requirements into the global TokenOps product and practice roadmap.
Success in this role looks like
Strategic EMEA opportunities have an executive-aligned TokenOps outcome, defensible architecture, governed delivery plan, and credible route to scale.
Complex customer decisions are resolved through clear principles, evidence, tradeoffs, and accountable architecture governance.
Solutions integrate AI capability, observability, unit economics, security, Responsible AI, sovereignty, and regulation without treating them as separate workstreams.
Regional delivery teams use consistent architecture patterns and receive effective principal-level guidance on high-risk decisions.
EMEA field learning shapes reusable offerings and improves the global TokenOps architecture, product priorities, and delivery standards.
Qualifications
Required Qualifications
Bachelor's or Master's degree in a technical field, or equivalent experience, and significant years in enterprise solution architecture.
Principal-level leadership of complex AI or cloud transformations involving 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 choices to executive investment and scale decisions.
Strong data, API, identity, network, security, and enterprise-integration architecture expertise.
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 sufficient to lead ambiguous, high-stakes customer decisions.
Preferred Qualifications
Azure Solutions Architect certification or equivalent recognized architecture expertise.
Delivery experience across multiple EMEA countries, regulatory environments, industries, or sovereign-cloud contexts.
Experience establishing architecture principles, review mechanisms, and reusable standards across a regional practice.
Knowledge of agent and RAG evaluation, quality, safety, and lifecycle-management methods.
Experience shaping major transformation scopes, work packages, roadmaps, dependencies, risks, and success criteria.
Ability to frame AI economics and technical tradeoffs for boards, executive sponsors, finance leaders, and risk stakeholders.
Track record of coaching architects and delivery teams and providing effective escalation leadership.
Ability to support engagement planning and controller implementation while turning regional field requirements into global product and practice improvements.
#FrontierTransformationGroup
Solution Architecture IC6 - The typical base pay range for this role across United Kingdom is £ 96,400.00 - £ 195,100.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's or Master's degree in a technical field, or equivalent experience
- Significant experience in enterprise solution architecture
- Principal-level leadership of complex AI or cloud transformations across multiple business units, technology domains, or delivery organizations in 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 choices to executive investment and scale decisions
- Strong data, API, identity, network, security, and enterprise integration architecture expertise
- 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
- Delivery experience across multiple EMEA countries, regulatory environments, industries, or sovereign-cloud contexts
- Experience establishing architecture principles, review mechanisms, and reusable standards across a regional practice
- Knowledge of agent and RAG evaluation, quality, safety, and lifecycle management methods
- Experience shaping major transformation scopes, work packages, roadmaps, dependencies, risks, and success criteria
- Ability to frame AI economics and technical tradeoffs for boards, executive sponsors, finance leaders, and risk stakeholders
- Track record of coaching architects and delivery teams and providing effective escalation leadership
- Ability to support engagement planning and controller implementation while translating regional requirements into global product and practice improvements
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
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