Bertran Aguiar
Senior Technical Product Manager (Ai) & Genai Lead @Walmart Canada
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WORK HISTORY
Senior Technical Product Manager (Ai) & Genai Lead @Walmart Canada
CA
Lead planning and technical execution across Walmart Canada\'s enterprise GenAI portfolio, running 40+ enablement sessions across 10+ departments, achieving peak 83% adoption (~75% sustained) across 2,300+ corporate associates.• Research AI model behavior, capabilities, and limitations across 7 approved enterprise AI models spanning Anthropic, OpenAI, and Google model families, directly informing system design and best practice decisions across the portfolio.• Develop technical guidelines and governance frameworks for scaling Agentic AI at Walmart Canada, defining operational risk tiers and authoring an Agent Registry to proactively reduce shadow IT risk across 6+ business units.• Design and deploy production AI agents across Replenishment, Merchandising, Compliance, and Finance, translating domain-specific workflows into compliant solutions, with 7 agents in production or active development.• Advise Walmart Canada\'s AI Fairness Council on internal and third-party AI releases, evaluating behavioral risks and surfacing gaps across all software entering Walmart Canada\'s operations.• Build and run the GenAI user enablement program for Walmart Canada\'s enterprise platform rollout, delivering training, onboarding, troubleshooting, workshops, and office hours across 5 enterprise GenAI platforms.Won 2nd Place in Walmart Canada\'s 2025 GenAI Hackathon and 3rd Place in the 2026 Innovation Pitch Competition, rapidly prototyping and pitching novel tech solutions.
EDUCATION
Champlain College
Bachelor's degree, Computer Software Engineering
SKILLS
ABOUT BERTRAN AGUIAR
Builder-leader in applied AI and GenAI systems, currently leading enterprise LLM adoption and AI product strategy at Walmart Canada. I focus on prototyping, evaluating, and operationalizing AI capabilities in real-world environments, with hands-on experience designing LLM workflows, RAG-powered knowledge systems, and guardrails for production use.I own AI product decisions and outcomes, using hands-on prototyping with agents to explore, pressure-test, and de-risk AI product choices early. I work closely with engineers, designers, platform teams, and end users to translate emerging AI capabilities into usable, human-centered systems, balancing experimentation with safety, privacy, and real-world production constraints.My work focuses on making AI system behavior and limits legible: where models are strong, where they break, and how those boundaries should shape AI product direction before scale. Alongside my work, I actively engage with AI research, experimentation, and practitioner communities, with a particular interest in model behavior and system-level design.
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