At a Glance
- Tasks: Lead technical sales engagements and guide customers in modernising applications with AI solutions.
- Company: Join Microsoft, a leader in tech innovation and inclusivity.
- Benefits: Competitive salary, diverse benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
- Why this job: Make an impact by transforming businesses with cutting-edge cloud and AI technologies.
- Qualifications: Experience in technical pre-sales or consulting, with a focus on cloud architecture.
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.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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
- 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.
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.
Solution Engineer - Cloud & AI in London employer: Microsoft Corporation
Microsoft is an exceptional employer that fosters a culture of inclusion, innovation, and growth, making it an ideal place for a Customer Success Account Manager. With a commitment to empowering employees through continuous learning and collaboration, you will have the opportunity to work with leading enterprise customers while developing your skills in a dynamic environment. The company's focus on respect, integrity, and accountability ensures that every team member can thrive and contribute to meaningful customer success stories.
StudySmarter Expert Advice🤫
We think this is how you could land Solution Engineer - Cloud & AI in London
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We think you need these skills to ace Solution Engineer - Cloud & AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Microsoft Corporation.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Microsoft Corporation and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Microsoft Corporation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Microsoft Corporation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
