Sales AI Strategy & Architecture Lead

Summary

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! The ALAC Sales — AI Strategy & Architecture Lead is a senior strategic and technical leadership role connecting AI and Sales at enterprise scale, based in São Paulo. This AI practice is purpose-built to serve the ALAC Sales organization, applying AI to drive Sales outcomes at regional scale.

Minimum 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 Proficient with AI/ML solution architectures — including technology selection, integration Master's degree

Preferred Qualifications

Cloud data platforms (Databricks, Snowflake, BigQuery, AWS/GCP/Azure) ML/AI frameworks and model productionization Data governance frameworks (LGPD, GDPR, DAMA- DMBOK) — LGPD compliance experience strongly preferred Regional or multi-country organizational experience Spanish proficiency Prior experience building an AI practice, Center of Excellence, or applied AI team from the ground up

Description

This role will design the technical architecture for ALAC's AI solutions —from technology selection and system integration patterns to agentic orchestration and deployment topology— while leading cross-functional teams spanning data quality & governance, AI business enablement, and agentic engineering. Architect enterprise-scale multi-agent systems, function-specific AI tools, and the full agent development lifecycle. Partners with IS&T, Legal, business teams, and executive leadership to translate Sales challenges into high-impact AI solutions. This role requires a hands-on leader. At Apple, people managers work alongside their teams, contributing directly to the work, not only directing it, as Apple operates with intentionally lean team structures. Strategic Leadership and Roadmap - 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 Solution Architecture & Technical Leadership - 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 Cross-functional Collaboration - 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 Data Governance & Quality - 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 Execution & Delivery - Manage project portfolios balancing rapid prototyping with production-grade delivery - Oversee agentic system and AI tool deployments with measurable adoption outcomes People & Team Leadership - Build and lead teams across practice areas —currently including data governance, AI business enablement, and agentic engineering— with both 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.