[Hiring] Principal Data and AI Architect @Salesforce

Role Description

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.

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 management, governance, integration, automation, compliance, and business/mission value.
• Build customer confidence through demos, prototypes, proofs of concept, reference patterns, and architectural walkthroughs that demonstrate what's real as well as what it will take to operationalize and scale within public sector constraints.
• Continuously scan the horizon and tinker to refine your judgement on what's worth building and how to build within the public sector data and AI space.
• Turn what you learn in the field into reusable assets, enablement, best practices, and product feedback that extend your impact beyond your immediate teams and stakeholders.

Qualifications

• 7+ years experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments; experience in defense, federal/civilian, state, local, higher education, or nonprofit environments preferred.
• A track record of shaping technical strategy with input from customers and/or stakeholders, validating solution approaches, and connecting mission or business needs to technology decisions.
• Strong understanding of enterprise data, AI, integration, governance, security, privacy, and platform architecture concepts and patterns; familiarity with public sector compliance frameworks (e.g. FedRAMP, StateRAMP, CJIS, NIST) is a plus.
• Experience working across Sales, Product, Engineering, Support, and delivery or customer teams to move solutions from idea to execution.
• The ability to distill and communicate complex technical ideas to executive and technical audiences, including government and institutional stakeholders.
• Demonstrated curiosity and learning velocity in emerging technologies, especially within the AI, data, automation, and agentic systems space.
• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, other STEM degrees or equivalent work experience. Graduate study a plus.
• U.S. citizenship required.

Helpful Experience

• Experience with Salesforce Data 360 (Data Cloud), Agentforce, MuleSoft, Tableau, Informatica, or the broader Salesforce Platform, ideally within government or public sector deployments.
• Experience with public sector-common vendors and platforms such as AWS (including AWS GovCloud), Microsoft/Azure Government, Palantir, Databricks, or Snowflake, in a pre-sales, solution engineering, or forward-deployed engineering capacity.
• Conversational AI, voice-enabled AI agents, real-time voice orchestration, telephony integrations, or multi-channel service experiences.
• Modern data platforms such as Snowflake, Databricks, BigQuery, RedShift, and the hyperscaler ecosystems around them.
• AI agents, generative AI, AI governance and observability, external agent ecosystems, hyperscaler AI services, or enterprise automation.
• Familiarity with public sector security and compliance requirements (e.g. FedRAMP, StateRAMP, CJIS, IL4/IL5, NIST 800-53) and identity/access frameworks common in government environments.
• Programming languages such as Python, common data structures and tooling, and AI-assisted development pipelines.
• Building demos, prototypes, proofs of concept, workshops, reference architectures, or field enablement assets.

Benefits

• Time off programs
• Medical, dental, vision, mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program