Principal Data and AI Architect

Salesforce · Virginia - Mclean · New York - New York City Metro - Remote · District of Columbia - Washington · Indiana - Chicago Metro - Remote

remotefull-time10+ years

posted 1d

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. 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 Global Public Sector customers, spanning Defense, Federal/Civilian, State and Local Government, Higher Education, and Nonprofits, 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 within the constraints and mission drivers of government and public-serving institutions. 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 public sector domain, understand the wider ecosystem including common government vendors and compliance frameworks, bring a strong point of view, and help guide the architectural decisions that turn AI ambition into trusted mission and business outcomes. We are looking for architects who love hard problems, think in systems, and are energized by the transformation AI is driving across government and public institutions. We value people who understand how the whole public sector landscape fits together, including its unique security, compliance, and procurement realities, and where Salesforce creates the most leverage within it. About the Role As a Data & AI Technical Architect on our Global Public Sector team, you are the expert thought leader and senior field specialist for defense, federal, state, local, higher education, and nonprofit customers evaluating, implementing, and expanding their use of Salesforce Data 360 (Data Cloud), Agentforce, and the broader enterprise data and AI ecosystem. Your work sits at the intersection of technical architectural, solution engineering, applied data and AI, and delivery-aware judgment on what it takes to make a solution succeed in a government or public sector environment. You help customers translate their mission and data and AI ambitions into practical, actionable architectures that also satisfy the security, compliance, and governance requirements common to the public sector. This role asks you to go both deep and wide: deep on the trusted data and agent foundation that everything else depends on, and wide across the ecosystem on which your customers actually run their mission, because real architecture lives at the seams between systems, not inside any single product. What You’ll Do Share a clear point of view on enterprise data and AI for public sector missions, how agents, data platforms, CRM, trust, identity, workflow, governance, security, compliance, and adoption come together into something that delivers value through Salesforce. Deeply understand our data & AI products and articulate the value of the Salesforce platform to defense, federal, state, local, higher education, and nonprofit stakeholders. Partner with sellers and solution teams to uncover customers' real mission problems, shape technical strategy, and pressure-test feasibility, security posture, and cost-to-serve early. Lead customer architectural discussions around Data 360, Agentforce, data structures and patterns, AI readiness, identity managemen