Director, Data and AI Architect

Salesforce

São Paulo, SP

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A empresa Salesforce está contratando para o cargo de Director, Data and AI Architect em: São Paulo, SP | LinkedIn

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Director, Data and AI Architect

Salesforce

São Paulo, SP

Director, Data and AI Architect

Salesforce

São Paulo, SP

Há 3 semanas

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Job Category

Sales

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About The Team

We are a Data & AI Architects team focused on helping customers understand what this new AI era makes possible, and what it actually takes to make the possible a reality: the right architecture, a trusted data foundation, a clear operating model, and an adoption path that scales. We work in the field, close to customers, close to our Agentforce and Data 360 sellers, and close to Product, Engineering, Support, and delivery teams. We are expected to know the domain, understand the wider ecosystem, bring a strong point of view, and help guide the architectural decisions that turn AI ambition into trusted business outcomes.

The team brings together architects with deep expertise across enterprise data, applied AI, and the wider technology ecosystem. They love hard problems, think in systems, and help customers understand how the landscape fits together and where Salesforce creates the most leverage.

About The Role

As Director, Data & AI Architect, you will lead and develop a team of senior Data & AI Architects who help customers make consequential architecture decisions across Salesforce and the broader enterprise data and AI ecosystem.

This is both a people leadership and architecture leadership role. You will build exceptional technical talent, set a high standard for architectural judgment, and create the environment in which architects can do their best work. You will remain close enough to the technology and customer work to coach, challenge, and improve the quality of the team's recommendations.

You will help customers and their leaders translate Data and AI ambition into practical architectures, trusted foundations, and measurable business outcomes. You will also help the team turn what it learns in the field into reusable patterns, stronger points of view, and better ways of working at scale.

What You'll Do

Build, lead, and develop a high performing team of Data & AI Architects with deep domain expertise, strong systems judgment, and the ability to influence technical and executive audiences.
Build a balanced team with deep expertise across enterprise data architecture and applied AI. Set hiring and development standards based on the systems candidates and architects have personally designed, decisions they owned, and outcomes they delivered, not certifications or product familiarity alone.
Set clear architectural principles and quality standards across enterprise data, AI, integration, identity, security, governance, trust, scale, and production readiness.
Stay close to strategic customer work. Review architectures, challenge assumptions, coach through tradeoffs, and help the team turn complex customer problems into clear and actionable recommendations.
Serve as a trusted technical executive for priority customers, helping CDOs, CIOs, CTOs, enterprise architects, and engineering leaders make sound decisions across Salesforce and their broader technology landscape.
Partner with Sales and Solution Engineering leaders to focus the team's expertise on the customer problems and opportunities where deep architectural involvement can create the greatest impact.
Work closely with Product, Engineering, Support, delivery teams, and partners to represent customer needs, improve product and field strategy, and increase the likelihood that technical decisions lead to successful adoption.
Connect architecture to business value. Ensure the team can explain the customer problem, the expected outcome, the major decisions and risks, and why the recommended approach is worth pursuing.
Turn field learning into reusable reference architectures, technical patterns, customer stories, enablement, and product feedback that extend the team's impact.
Build a culture of curiosity, experimentation, and