Cloud and AI Solution Specialist
Microsoft
Cloud and AI Solution Specialist
London, United Kingdom
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Overview
Join us in shaping the future of cloud transformation and AI innovation with Microsoft Azure!
We are seeking a driven and customer-focused Solution Area Specialist to join our Cloud & AI team in the UK. In this role, you will work with enterprise and strategic customers to accelerate their digital transformation by unlocking the full potential of Azure across solution areas such as AI, Data & Analytics, and Application Innovation.
As a trusted advisor, you will lead high-impact engagements that inspire customers to envision, design, and deploy scalable, secure, and AI-powered cloud solutions. Partnering closely with technical specialists, partners, and engineering teams, you will help organizations reimagine their business models, enhance operational efficiency, and create innovative new products and services on Azure. Your ability to translate complex technical capabilities into tangible business value will be essential to driving customer adoption and measurable outcomes.
This is a unique opportunity to be at the heart of Microsoft’s cloud and AI strategy—helping organizations across industries harness the power of Azure to transform their operations, innovate with AI, and thrive in a competitive digital landscape.
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. We build on our values of respect, integrity, and accountability to foster an inclusive culture where everyone can thrive.
Qualifications
Qualifications
Technology-related sales, business development, or account management experience OR
A Bachelor’s Degree in Information Technology, Computer Science, Business, or related field combined with technology-related sales or account management experience OR
A Master’s Degree in Business Administration (MBA), Information Technology, or related field combined with technology-related sales or account management experience.
Preferred Qualifications
Experience bridging technical depth with customer engagement, ideally having worked in both technical (solution engineering, architecting, development) and sales/business roles.
Strong knowledge of cloud platforms (Azure preferred, AWS or Google Cloud a plus) and cross-solution integration across AI, Data, and Application Innovation.
Familiarity with enterprise-scale AI solutions, data platforms, application modernization strategies, and security best practices.
Track record of driving adoption and consumption of technology solutions in enterprise accounts.
Responsibilities
Responsibilities
Lead Strategic Customer Conversations: Engage executives, business leaders, and technical teams to understand their priorities and challenges, mapping them to Microsoft’s Cloud & AI solutions to deliver differentiated value.
Accelerate AI and Cloud Adoption: Drive adoption of Azure services across AI, Data, and Application Innovation, activating solution plays such as “Modernize Applications,” “Empower AI Transformation,” and “Unlock Data Value at Scale.”
Orchestrate Solution Delivery: Partner with Cloud Solution Architects, Specialists, and Partners to deliver demos, design sessions, and proof-of-value engagements that showcase Azure’s impact.
Champion Secure and Responsible AI: Guide customers in implementing secure, compliant, and responsible AI practices, leveraging Microsoft tools like Azure AI, Azure Machine Learning, and Microsoft Responsible AI guidelines.
Enable Data-Driven Decision Making: Help customers modernize their data estates, integrate advanced analytics, and deploy AI models to optimize decision-making and operational efficiency.
Drive Business Outcomes with Application Innovation: Support customers in building and modernizing applications using Azure Kubernetes Service, serverless computing, and low-code/no-code capabilities.
Pipeline & Opportunity Management: Identify and qualify opportunities, progressing them through the sales cycle by leveraging AI-driven insights and collaborating with partners for co-selling motions.
Ensure Ongoing Customer Success: Monitor and guide adoption post-deployment, ensuring customers realize the full value of their Azure investments while driving renewals and expansion.
Continuous Learning & Thought Leadership: Stay ahead of industry trends, competitive insights, and Microsoft innovations. Share best practices and mentor peers to raise overall team capability.