Microsoft Technical Solution Architect - Data & AI

Accenture; Camden Town; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global consulting firm in Camden Town is seeking a Delivery Leader to spearhead the technical design and implementation of modern data platforms and AI solutions on Azure. The ideal candidate will ensure adherence to design principles while managing risks across complex solution deliveries. Experience in data architecture and understanding of AI standards are essential. This role involves leadership in both delivery and pre-sales solutions.

Qualifications

• Experience with Azure and Fabric technologies.
• Strong understanding of solution architecture and design principles.
• Proficiency in managing risks and compliance with AI standards.

Responsibilities

• Lead end-to-end solution architecture during delivery phases.
• Manage design reviews and ensure compliance with security standards.
• Guide engineering teams in implementing data products and AI services.

Job description

Join our Microsoft Business Group Data & AI team to shape, sell and land modern data platforms and AI solutions on Azure and Fabric, including Copilot and agentic AI patterns. You’ll lead technical design and delivery for complex solutions, ensuring they are secure, responsible, and aligned with client outcomes.

Delivery Leadership (approx. 80%)

• Own end-to-end solution architecture during delivery phases, ensuring adherence to design principles and governance;
• Lead design reviews, manage risks and assumptions, and ensure compliance with Responsible AI and security standards;
• Partner with engineering teams to implement Fabric landing zones, data products, and AI services;
• Provide technical leadership to delivery teams, resolving design issues and ensuring scalability and performance;
• Support client workshops and steer solution evolution during delivery.

Pre-sales & Solutioning (approx. 20%)

• Contribute to shaping opportunities and technical solutioning for pursuits;
• Support RFx responses with architecture inputs and delivery approach;
• Develop reusable assets and share best practices across the team.