Microsoft
CurrentSenior AI Architect, Global Black Belt
May 2024 – Present • London, UK
Leading AI and machine learning solutions for global enterprises, improving operational efficiency and driving AI adoption across multiple industries.
Executive Summary
As a Senior Generative AI Specialist within Microsoft's Global Black Belt (GBB) organization, I have led enterprise-wide Generative AI adoption, driving business transformation across multiple industries. I have successfully led 50+ enterprise AI engagements with customers representing over $500M in Annual Recurring Revenue (ARR). My role sits at the intersection of AI strategy, enterprise architecture, and customer success—partnering directly with CXOs and business leaders to translate AI vision into scalable, production-grade solutions.
Company Overview
Microsoft is a global technology leader offering cutting-edge cloud, AI, and enterprise solutions. Through Azure AI, Microsoft enables organizations to transform their operations, create new value streams, and responsibly adopt Generative AI at scale.
Core Responsibilities
- Enterprise AI Leadership: Define, lead, and execute AI transformation strategies for top-tier enterprise customers.
- Generative AI Architecture: Design end-to-end AI solutions leveraging Azure OpenAI, AI Search, Cognitive Services, and hybrid architectures.
- AI Accelerators: Develop and maintain reusable AI assets to simplify and speed up customer adoption.
- CxO Advisory: Advise executives on AI strategy, responsible AI, governance, and organizational readiness.
- Technical Enablement: Coach and empower customer engineering teams to scale AI capabilities sustainably.
- Open-Source Contributions: Publish and maintain open-source AI accelerators available to the wider Azure community.
Customer Engagement Highlights
Manufacturing Sector
Led a major AI transformation for a global manufacturing client, building GenAI infrastructure and deploying solutions at scale, driving over $100M ARR in GPU and cloud consumption.
Government Sector
Delivered a national-scale AI transformation project focused on transcription, summarization, knowledge tracking, and RAG applications, successfully deployed across 200+ UK councils.
Insurance Sector
Led the transformation of underwriting processes for a major life insurance company, replacing manual assessments with AI-powered agentic workflows for faster and more consistent risk evaluation.
Healthcare / Pharma
Partnered with a leading multinational consumer healthcare company to build and modernize their AI platform, automating document review, data extraction, and formulation simulation across R&D processes.
Key Achievements
Open-Source AI Accelerators on GitHub
As part of my role at Microsoft, I architect and develop production-ready AI accelerators that are published as open-source projects, enabling the broader Azure community to accelerate their AI adoption journey.
AI Voice Agent Automation Platform
Architected and developed an enterprise-grade agentic voice automation solution leveraging Azure Communication Services and GPT-4o Realtime for intelligent PSTN call handling with sub-second response times. Implemented event-driven architecture with dual-approach support for both native GPT-4o audio processing and Azure Speech Services STT/TTS pipeline, enabling autonomous AI agents to conduct dynamic customer interactions with Redis caching, Cosmos DB session persistence, and comprehensive conversation analytics for scalable deployment across support and engagement scenarios.
Sonic Brief Project
A production-ready Azure-based solution deployed across 200+ UK councils to support social workers. It transcribes and summarizes voice recordings using Azure Speech-to-Text and GPT-4o, helping professionals document cases more efficiently and focus on client engagement rather than administrative tasks.
Azure AI Promptflow Accelerator
A comprehensive tool for building and deploying AI-powered customer support systems using Azure OpenAI, Azure AI Search, and Promptflow. This accelerator provides enterprise-ready templates and workflows to rapidly prototype and deploy conversational AI solutions.
Azure AI Translator Accelerator
A cloud-based solution for automating document translation with Azure OpenAI and Azure AI Translator, featuring advanced exclusion word handling and document watermarking capabilities. Designed for enterprise-scale multilingual content management and compliance requirements.
Leadership Lessons
- Enterprise AI transformation is complex, requiring alignment across business objectives, technical architecture, and operational processes.
- Securing AI implementations at enterprise scale is highly challenging due to evolving regulations, privacy concerns, and governance requirements.
- Building proof-of-concepts is relatively easy; scaling AI solutions into resilient, production-grade systems remains one of the biggest enterprise hurdles.
- While AI capabilities are powerful, ensuring solutions are cost-effective and generate sustainable ROI is the ultimate success factor for long-term adoption.