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Microsoft

Solution Engineer - Cloud & AI

Posted 2 Hours Ago
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In-Office
London, England, GBR
Expert/Leader
In-Office
London, England, GBR
Expert/Leader
Leads technical sales engagements with strategic professional services customers across EMEA. Designs and demonstrates Azure application modernization, cloud-native, integration, AI, and agentic workflow solutions through workshops, proofs of concept, labs, and hackathons. Advises customers on Azure infrastructure foundations, security, resiliency, observability, and cost governance while promoting GitHub Copilot and AI-assisted software delivery. Builds executive and technical stakeholder relationships, resolves architecture blockers, and influences customer decisions.
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Overview

Join Microsoft as a Cloud & AI Platform (CAIP) Apps Solution Engineer supporting strategic customers in the Professional Services Operating Unit across EMEA. In this technical sales role, you will help customers modernize applications, build AI-infused solutions, and move from experimentation to secure, scalable production outcomes on Azure. 

This role is designed for candidates who understand professional services organizations, including consulting, advisory, audit, tax, legal, systems integration, or related client-service environments. You will connect Microsoft Apps + AI capabilities to high-value scenarios such as client delivery, knowledge reuse, proposal and pursuit workflows, secure collaboration, productivity at scale, and AI-assisted service delivery. 

The role requires deep Apps + AI expertise, with working knowledge of Azure Infrastructure patterns needed to host, secure, connect, operate, and scale production intelligent applications.

Customer Scope: Strategic customers in the Professional Services Operating Unit across EMEA

Primary Focus: Apps + AI, application modernization, intelligent applications, APIs, integration, and cloud-native architecture.

Secondary Focus: Azure Infrastructure foundations for production intelligent applications, including landing zones, networking, identity, security, hybrid connectivity, resiliency, monitoring, and cost governance. 

 

Responsibilities

Responsibilities 

  • Lead technical sales engagements with strategic Professional Services OU customers through demos, PoCs, architecture workshops, hands-on labs, and hackathons. 

  • Guide customers across application modernization, cloud-native architecture, APIs, microservices, containers, integration patterns, and AI-infused application design. 

  • Design intelligent application and agentic workflow patterns using Azure application platform services, Azure AI Foundry, and GitHub Copilot. 

  • Translate Apps + AI capabilities into professional services business outcomes, including client delivery efficiency, knowledge management, regulated workflow modernization, and reusable AI-enabled service assets. 

  • Connect application modernization plans to Azure Infrastructure foundations such as landing zones, networking, identity, security, hybrid connectivity, resiliency, observability, and cost governance. 

  • Build trusted advisor relationships with application leaders, enterprise architects, platform teams, infrastructure teams, security stakeholders, engineering teams, and business decision-makers. 

  • Drive GitHub Copilot and AI-assisted engineering scenarios that improve developer productivity, software quality, and secure software delivery. 

  • Resolve technical blockers, influence customer architecture decisions, and provide product feedback to Microsoft engineering. 

Technical Focus 

  • Advanced Apps + AI expertise: Azure App Service, Azure Functions, Container Apps, AKS, API Management, Event Grid, Service Bus, Logic Apps, cloud-native architecture, DevOps, resiliency, observability, and security. 

  • Advanced intelligent application expertise: Azure AI Foundry, Azure AI services, copilots, agentic workflows, agent orchestration, tool integration, grounding strategies, and production AI application lifecycle management. 

  • GitHub expertise: GitHub Copilot, GitHub Actions, GitHub Advanced Security, AI-assisted software delivery, and developer productivity adoption patterns. 

  • Working knowledge: Azure Infrastructure foundations including landing zones, Azure networking, identity and access, security posture, hybrid connectivity, Azure VMware Solution, compute, storage, monitoring, backup, disaster recovery, and cost management. 


Qualifications
 

Required Qualifications 

  • Extensive experience in technical pre-sales, consulting, software engineering, cloud architecture, application platform engineering, or infrastructure architecture. 

  • Professional services industry experience, either serving professional services customers or working in consulting, advisory, audit, tax, legal, systems integration, or related client-service environments. 

  • Demonstrated expertise in application modernization, cloud-native application architecture, integration patterns, and Apps + AI solution design. 

  • Working knowledge of Azure Infrastructure architecture patterns needed to support production applications, including networking, identity, security, landing zones, resiliency, monitoring, and hybrid connectivity. 

  • Ability to engage enterprise customers and influence technical decision-makers across application, platform, infrastructure, security, engineering, and business teams. 

  • Experience leading customer technical engagements such as PoCs, MVPs, architecture design sessions, hands-on labs, workshops, or hackathons. 

Preferred Qualifications 

  • Hands-on experience with Azure application platform services, Azure AI Foundry, Azure OpenAI, agentic workflows, copilots, RAG patterns, and responsible AI practices. 

  • Experience with Azure Infrastructure services such as Azure landing zones, Azure networking, Azure Virtual Machines, Azure VMware Solution, Azure Arc, Azure Monitor, Backup, Site Recovery, and infrastructure security controls. 

  • Experience with GitHub, GitHub Advanced Security, GitHub Actions, and GitHub Copilot adoption or enablement. 

  • Ability to shape customer strategy through technical leadership, storytelling, executive-ready architecture narratives, and hands-on execution. 


Solution Engineering IC5 - The typical base pay range for this role across United Kingdom is £ 79,700.00 - £ 133,900.00 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.

Microsoft London, England Office

2 Kingdom St, London, United Kingdom, W2 6BD

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