Diego M.
Principal Technologist @Amazon Web Services (AWS)
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WORK HISTORY
Principal Technologist @Amazon Web Services (AWS)
Toronto, ON, CA
Executive Customer Relationship Management: Serve as the primary front-facing advisor for cloud transformation and GenAI adoption across Canadian education and research institutions, directly responsible for $240M+ in revenue from strategic AI/ML customer opportunities• Strategic Solutioning & Design Leadership: Act as the GenAI Strategy Lead for the Canadian State, Local, and Education (SLED), Healthcare, and Financial Industry verticals; partner with GTM leaders to synthesize complex business challenges into clear, actionable architectures for agent orchestration, search platform systems, and FM/LLM deployment.• AI Strategy & Responsible AI: Drive global initiatives around ethical AI usage and data sovereignty; authored the proposal for a Canadian sovereign model and served as a key member of a working group establishing government-backed LLMs across multiple nations.• Facilitation & Workshop Leadership: Design interactive mechanisms, architectural guides, and workshopping strategies to guide organizational readiness, helping customers successfully transition from self-hosted ML solutions to scalable managed services like Amazon Bedrock and SageMaker HyperPod.• Technical Leadership & Program Management: Founded and led the global AWS Education technical field community; fostered high-performing engineering cultures as an AWS Bar-Raiser (300+ interviews) and mentor to technologists globally
EDUCATION
Faculdade Lemos de Castro
Bachelor, Information Systems
SKILLS
ABOUT DIEGO M.
Strategic technology leader and Principal Technologist with 18+ years of experience driving cloud transformation, enterprise architecture, and emerging technology adoption. Proven track record serving as a primary executive-facing advisor for complex AI deployments within the Canadian Public Sector and regulated industries. Deeply specialized in bridging customer strategic needs with product innovation, defining enterprise AI roadmaps, and ensuring responsible AI usage. Expert in agent orchestration, RAG solutions, and scalable ML workloads, combining hands-on technical depth with the ability to foster collaboration across C-suite stakeholders and drive measurable business value.
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