Solution Engineering

As a Solution Engineer - Apps & AI, you will help organisations accelerate innovation by modernising applications, adopting AI-powered solutions, and building intelligent digital experiences that drive business value. Working alongside account teams, specialists, partners, and customer stakeholders, you will engage throughout the customer transformation journey, from strategy and envisioning through technical validation, deployment, and adoption. You will combine deep technical expertise with business acumen to design and demonstrate solutions that help customers modernise applications, improve developer productivity, integrate AI capabilities, and unlock new opportunities for growth and efficiency.

You'll work with technology leaders, architects, developers, engineering teams, and business decision-makers to showcase how Microsoft's Apps & AI platform, including Azure AI, Azure App Services, Containers, Kubernetes, Developer Tools, Git Hub, Power Platform, Copilot technologies, and Intelligent Applications, can help organisations modernise, innovate, and achieve measurable outcomes. This role offers the opportunity to work with customers across a broad range of industries, supporting their application transformation, AI adoption, and digital innovation initiatives.

• Lead strategic technical customer engagements focused on application modernization, AI solutions, developer productivity, and intelligent applications.
• Deliver compelling demonstrations, workshops, architecture reviews, envisioning sessions, and proof-of-concept engagements.
• Translate customer business challenges into modern application and AI solution architectures.
• Serve as a trusted technical advisor throughout the sales and adoption lifecycle, orchestrating virtual teams of specialists, architects, customer success resources, and partners.
• Drive technical strategy and solution design for complex customer opportunities.

• Help customers modernise legacy and existing applications using cloud-native architectures and modern development practices.
• Guide customers through architectural decisions involving web applications, APIs, microservices, containers, Kubernetes, event-driven architectures, and serverless technologies.
• Design scalable, reliable, secure, and resilient application platforms that support current and future business requirements.
• Support customers in adopting Dev Ops, Git Ops, platform engineering, and modern software delivery practices.
• Demonstrate best practices for application lifecycle management, observability, performance optimisation, and operational excellence.

• Design and position AI-powered solutions that enable new business capabilities and user experiences.
• Help customers integrate generative AI, copilots, agents, and intelligent workflows into existing and new applications.
• Guide customers in grounding AI solutions on enterprise data to enable secure, responsible, and context‑aware AI experiences.
• Demonstrate how Azure AI services, AI Foundry, Copilot technologies, and developer tools can accelerate innovation and productivity.
• Support customers in implementing Responsible AI principles, governance, security, and compliance requirements.

• Design end-to-end solutions using Azure application services, containers, APIs, integration technologies, data platforms, and AI capabilities.
• Guide customers in building scalable, secure, and maintainable application architectures across cloud-native and hybrid environments.
• Help customers modernise development processes and improve engineering effectiveness through automation and AI‑assisted development.
• Support customers in…