Cloud Solution Architecture: AI Apps & Agents
Key details
- Compensation
- $70,000 - $100,000
Job Description
Salary: £70,000 - 100,000 per year
Requirements
- Bachelors degree in computer science, Information Technology, Engineering, Business, or a related field, or equivalent experience.
- Proven experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting.
- Ability to convey the business needs, value, plans, and risks of proposed solutions to stakeholders and decision makers.
- Ability to build trusted advisor relationships across technical and business stakeholders.
- Ability to use self-awareness to interpret verbal and non-verbal cues and read the room.
- Ability to ask insightful questions to understand customer needs, issues, business environment, and drivers.
- Breadth of technical experience and knowledge in foundational security, foundational AI, and architecture design, with depth in one or more of the following areas: Azure AI/Cognitive Services, Machine Learning, Azure OpenAI, or CoPilot.
- Hands-on experience with programming languages such as Python, C#, R, or JavaScript in application development.
- Ability to integrate Azure AI with services such as Azure Functions, Kubernetes, Docker, and API Management.
- Proven experience building enterprise-grade, AI-focused cloud solutions from MVP to production deployment.
- Strong understanding of DevOps practices, CI/CD toolchains, and familiarity with MLOps.
- Foundational knowledge of AI and ML concepts such as prompt engineering, GPU and FPGA compute systems, TensorFlow, PyTorch, Jupyter notebooks, and VS Code.
- Knowledge of Generative AI applications and use cases, including LLMs and foundation model toolsets.
- Understanding of Responsible AI practices, including ethical considerations, bias mitigation, and fairness.
- Awareness of the competitive landscape, including AI platforms beyond Azure such as AWS and GCP, and the AI open-source ecosystem.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Responsibilities
- Understand customers AI transformation priorities and success measures.
- Innovate with AI application solutions that drive business value.
- Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability.
- Gather insights from customers and partners.
- Drive consumption growth by developing opportunities to enhance Customer Success and help customers extract value from Microsoft investments.
- Curate and produce high-quality guidance for internal and external communities and customers.
- Leverage subject matter expertise to identify resolutions for customer blockers.
- Follow best practices and utilize repeatable IP to unblock customer challenges.
- Build repeatable IP and assets that create velocity in deployment and drive customer value.
- Continuously improve assets using field inputs.
- Apply technical knowledge to design solutions aligned with business and IT needs.
- Create innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
- Share insights and best practices, collaborate with the Engineering team to address key blockers, and influence product improvements, roadmap, and feature prioritization.
- Stay updated on market trends, collaborate with the AI technical community, and educate customers about the Azure AI platform.
- Engage with field teams to share expertise, contribute to IP creation, promote reusability, and accelerate customer success.
- Collate feedback on assets to drive improvement and leverage field team inputs.
Technologies
- AI
- API
- AWS
- Architect
- Azure
- C#
- CI/CD
- Cloud
- Copilot
- DevOps
- Docker
- FPGA
- GCP
- Support
- Jupyter
- JavaScript
- Kubernetes
- LESS
- Machine Learning
- MLOps
- Network
- PyTorch
- Python
- Security
- TensorFlow
- VS Code
More
We are Microsofts Customer Experience and Success (CE&S) organization, with more than 45,000 employees and partners worldwide, focused on empowering customers to accelerate business value through differentiated customer experiences powered by Microsoft products and services. We are hiring a hands-on Cloud Solution Architect to join our Technical Success team within the AI Apps & Agents focus area in London, United Kingdom, in a full-time remote role with less than 25% travel. This is a deeply technical, solution-focused individual contributor role where we work on challenging projects, support customers across design, build, and production, and help remove production blockers. We offer a competitive base pay range of 61,900.00 to 105,500.00 per year, and certain roles may be eligible for benefits and other compensation.
last updated 36 week of 2026
Company & context
Evidence is labeled so you can tell internal community data from public sources.
Range from 9 indexed roles at this employer: $70,000 - $100,000(mid ~85000)
Context reflects data collected at crawl time.
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