Solution Engineer - Cloud & AI

Requirements

• Extensive experience in technical pre-sales, consulting, software engineering, cloud architecture, application platform engineering, or infrastructure architecture.
• Professional services industry experience, serving professional services customers or working in 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 for production applications.
• Ability to engage enterprise customers and influence technical decision-makers.
• Experience leading customer technical engagements such as PoCs, MVPs, and workshops.

Nice to Haves

• Hands-on experience with Azure application platform services, Azure AI Foundry, agentic workflows, copilots, and responsible AI practices.
• Experience with Azure Infrastructure services such as Azure landing zones, Azure networking, and security controls.
• Experience with GitHub, GitHub Advanced Security, GitHub Actions, and GitHub Copilot.
• Ability to shape customer strategy through technical leadership and storytelling.

What You'll Be Doing

• Lead technical sales engagements with strategic customers through demos, workshops, and hackathons.
• Guide customers in application modernization, cloud-native architecture, and AI-infused application design.
• Design intelligent application and workflows using Azure services and GitHub Copilot.
• Translate Apps + AI capabilities into business outcomes.
• Build trusted advisor relationships with various technical stakeholders.
• Resolve technical blockers and influence customer architecture decisions.

Perks & Benefits

• Base pay range: £79,700.00 - £133,900.00 per year.
• Benefits and other compensation may be available for certain roles.
• Equal opportunity employer with inclusive policies.