Cloud Solution Architecture - AI Application Development at Microsoft

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud-Native Application Development, AI/ML Integration, Software Engineering, Solution Architecture, Technology Consulting, DevOps Practices, API Design, Building Scalable Applications, Azure AI, App Services, GitHub, Data Platforms, Technical Workshops, Problem Solving, Collaboration, Communication

Industry

Software Development

Description

Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes. Strong and proven experience in cloud-native application development, AI/ML integration, software engineering, solution architecture, technology consulting, DevOps practices, API design, and building scalable, secure, and intelligent applications on modern cloud platforms Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications) Experience in Cloud Infrastructure, plus one or more of the following highly desirable: Technology Solutions Networking Virtualisation Technologies Open Source Professional Experience - Proven success in technology sector with either technical sales, projects, architecture, design, implementation, and/or delivery support. Relationship Building - Proven track record of building deep technical relationships with people, experience in managing various stakeholder relationships to get consensus on solution/projects. Problem Solving - Passion and ability to solve technical problems. Collaboration and Communication - Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects. Technical - Expertise in applying Well-Architected Framework and Cloud Adoption Framework principles to AI-driven application design. Proven experience with enterprise-scale cloud-native and hybrid application architectures, modern development patterns, AI/ML integration, application modernization strategies, and lifecycle management of intelligent solutions. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *

Responsibilities

Engage with customer IT and business leaders to design secure, scalable solutions that drive business value. Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI and related platforms.