Peter Rees
Lead Architect - Enterprise Data & Ai Ml @A.P. Moller - Maersk
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WORK HISTORY
Lead Architect - Enterprise Data & Ai Ml @A.P. Moller - Maersk
London, GB
Architect & Delivery lead for Sirius AI Solution - a scalable enterprise service to rapidly implement GenAI use cases using a set of core \"system based skills\" and components for: Document/knowledge source ingestion, knowledge storage (vector, graph & relational DB), Knowledge Retrieval (RAG), Prompt templates, Model integrations, Knowledge agent orchestration, systems and chatbot UI integrations.(Utilises technologies including Azure, OpenAI/GPT/Llama and Github based automation for AIOps).Instructor and mentor for Internal AI training with responsibility for supervising GenAI based use case solutions, advising on architecture, implementation, tuning and testing. Also involved in AI technology assessment, vendor engagement and have delivered a number of PoCs/PoVs to determine fit to business use cases. Currently working on enabling Multi-agent systems and internally hosted \"small language models\" trained on Maersk data.Leading design of Maersk Polaris, our Enterprise Data & AI Fabric. This leverages the latest advances in Artificial Intelligence and Machine Learning to automate simplification and curation of the enterprise data landscape. We are creating pluggable components to drive developer productivity, and embedded AI in every step of the data lifecycle.
EDUCATION
Imperial College London
Executive MBA, Business Administration and Management, General
SKILLS
ABOUT PETER REES
Accomplished Data and AI Architect and Leader with a rich history of engineering and architecting cloud-based data solutions, utilizing cutting-edge models like Data Mesh and event-driven pipelines. Highly skilled in crafting AI and advanced analytics strategies that deliver tangible value to businesses. Recognised for expertise in Generative AI and a deep understanding of AI technologies.Key Competencies- Creating enterprise-wide data strategies and implementing robust data solutions, while establishing governance and support frameworks- Exceptional proficiency in designing and engineering data solutions encompassing relational, NoSQL, distributed (Hadoop), and vector databases, both on-premises and in the cloud- Driving data and analytics-driven business transformations, automating decision-making, generating actionable insights, embedding intelligence, and deploying knowledge-based systems to foster innovation and create business value- Recognized for executive-level engagement, stakeholder communication, and the development of compelling business cases, ensuring alignment with strategic objectives- Outstanding communicator with a talent for empathetic listening, respectful challenge, and delivering tailored content to build trust and credibility- Expert in product management, agile technical delivery, global deployment, change management, financial oversight, and organizational leadership- Proven ability to cultivate high-performance teams, drive innovation, redesign organizational structures, and lead cross-functional collaboration between business and technology functions.Peter\'s extensive cross-industry experience extends to highly regulated sectors, data protection, digital transformation, and modern data practices. His strong leadership is evidenced by a history of guiding teams to success, facilitating innovative thinking, and delivering results in demanding and rapidly changing environments. Peter\'s significant knowledge of AI, vector databases, and knowledge-based systems sets him apart as a forward-thinking leader who can steer organizations toward data-driven transformation and innovation, making him an ideal choice for senior AI architecture and leadership roles.
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