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ALAC (Latin America) Sales AI Strategy & Architecture Lead

Apple· Sales and Business Development
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São Paulofull-timePosted 4mo ago

About the role

Senior strategic and technical leadership role connecting AI and Sales at enterprise scale for ALAC, based in São Paulo. Responsible for designing technical architecture for ALAC's AI solutions, leading cross-functional teams, and shaping the AI practice and operating model to drive Sales outcomes regionally.

Responsibilities

  • Define and execute the overarching data and AI strategy for the ALAC Sales organization
  • Align initiatives with Sales business objectives, focusing resources on highest-impact projects
  • Shape the AI practice operating model across practice areas, adapting as the field evolves
  • Design end-to-end solution architectures for ALAC AI initiatives — from technology selection and system integration patterns to data flow design, deployment topology, and build-vs-buy evaluation
  • Architect enterprise-scale multi-agent systems for ALAC — defining their internal structure, tool integrations, memory systems, and interaction patterns across workflow automation and decision support
  • Design and define orchestration architecture across agents and multi-agent systems developed internally and by other Apple areas, authoring technical design proposals and reference architectures that guide engineering execution
  • Design function-specific AI tools and interfaces — purpose-built agentic environments tailored to each Sales role, from UX patterns to backend integration
  • Own the full agent development lifecycle —from architecture and training to orchestration, versioning, and continuous improvement— while the AI Business Process Champion owns the business-side functional specifications that define what each tool should do from the user's perspective
  • Partner with IS&T, Legal, business teams, and Executive leadership
  • Translate business problems into technical requirements and technical outcomes into business insights
  • Coordinate with other Apple areas on shared agent and multi-agent ecosystems
  • Champion data privacy, security, governance, and ethical AI across the organization
  • Set data quality strategy, standards, and governance policies — with execution and operationalization owned by the AIML Data Quality and Governance Scientist — and ensure regulatory compliance (including LGPD)
  • Extend governance to the agentic layer — auditable agent definitions, version history, and improvement roadmaps
  • Manage project portfolios balancing rapid prototyping with production-grade delivery
  • Oversee agentic system and AI tool deployments with measurable adoption outcomes
  • Build and lead teams across practice areas —data governance, AI business enablement, and agentic engineering— with internal staff and contractors
  • Hire, coach, and develop team members; set performance expectations and career paths
  • Define AI practice operating cadences, collaboration norms, and contractor delivery standards.

Qualifications

  • 8+ years of relevant work experience
  • 5+ years in a leadership role
  • Fluent in English and Portuguese
  • Hands-on contributor mindset — comfortable doing the work alongside a lean team, not only directing it
  • Experience leading blended teams (internal + contractors)
  • Proven experience designing and delivering enterprise-scale AI/ML architectures
  • Proficient with AI/ML solution architectures — including technology selection, integration
  • Master's degree

Skills

Required:AI/ML solution architecturesData governanceCloud data platforms
Last updated Jul 3, 2026. Interested? Apply on the company site.

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