Guide globally managed Enterprise Partners through the build journey, providing architectural guidance, technical expertise, and pre‑sales support for Microsoft Cloud & AI solutions.
Compensation
Cloud Solution Architecture IC5 - The typical base pay range for this role across United Kingdom is £ 79,700.00 - £ 133,900.00 per year.
Responsibilities
Guide Solution Development & Activation
Empower Innovation
Strategic Sales Enablement
Champion Technical Excellence
Thought Leadership & Stakeholder Management
Requirements
Master's or Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
Lead the design, development, and deployment of generative and agentic AI solutions for enterprise clients, integrating large language models, APIs, and enterprise data into production systems.
Compensation
The annual salary range for this position is $113,000.00-$188,000.00.
Responsibilities
Translate business and mission needs into technical designs and prototypes
Build and integrate AI solutions using large language models and enterprise data
Develop agentic workflows with tool use, structured outputs, and human-in-the-loop patterns
Implement Model Context Protocol and agent-to-agent communication
Deploy RAG solutions with vector search and embeddings
Requirements
Bachelor’s degree in Computer Science or related field
Nice to have: Bachelor’s degree
Nice to have: prior experience as Forward Deployed Engineer
Design, develop, test, publish, and maintain production-ready Power BI reports, dashboards, scorecards, semantic models, and datasets supporting North American Manufacturing and Supply Chain operations
Connect to and transform governed data from the enterprise data lake, Microsoft Fabric, relational databases, ERP systems, and other approved sources using Power Query, SQL, dataflows, and supported Power BI connectivity methods
Analyze source tables, keys, data grain, cardinality, relationships, and business rules to build accurate star-schema or other fit-for-purpose data models
Create clear, reusable DAX measures and calculation logic that produce consistent business results while minimizing unnecessary model complexity
Optimize semantic models and reports for responsiveness and capacity efficiency by reducing model size, limiting high-cardinality columns, preserving query folding when available, selecting appropriate storage modes, and removing unnecessary visuals, queries, and calculations
Requirements
Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Business Analytics, Supply Chain Management, or a related field
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