Principal Data and AI Architect

Job Category: Sales

About the Team

We are a Data & AI Architects team focused on helping Global Public Sector customers—including Defense, Federal/Civilian, State and Local Government, Higher Education, and Nonprofits—understand what the new AI era makes possible and how to turn that possibility into reality through the right architecture, trusted data foundation, clear operating model, and scalable adoption path.

About the Role

As a Data & AI Technical Architect on our Global Public Sector team, you will serve as the expert thought leader and senior field specialist for customers evaluating, implementing, and expanding their use of Salesforce Data 360 (Data Cloud), Agentforce, and the broader enterprise data and AI ecosystem. You will translate mission‑driven data and AI ambitions into practical, actionable architectures that meet security, compliance, and governance requirements.

Responsibilities

• Share a clear point of view on enterprise data and AI for public sector missions, integrating agents, data platforms, CRM, trust, identity, workflow, governance, security, compliance, and adoption.
• Deeply understand our data & AI products and articulate their value to defense, federal, state, local, higher education, and nonprofit stakeholders.
• Partner with sellers and solution teams to uncover 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 operationalization and scaling within public sector constraints.
• Continuously scan the horizon and tinker to refine judgment on what’s worth building and how to build within the public sector data and AI space.
• Turn field learnings into reusable assets, enablement, best practices, and product feedback that extend impact beyond immediate teams.

Qualifications

• 7+ years of 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.
• Track record of shaping technical strategy with input from customers 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 collaborating across Sales, Product, Engineering, Support, and delivery teams to move solutions from idea to execution.
• Ability to distill and communicate complex technical ideas to executive and technical audiences, including government and institutional stakeholders.
• Demonstrated curiosity and rapid learning in emerging technologies, especially within AI, data, automation, and agentic systems.
• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, another STEM field, or equivalent work experience; graduate study a plus.
• U.S. citizenship required.

Preferred Experience

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

Benefits

• Time‑off programs
• Medical, dental, and vision coverage
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k) retirement plan
• Employee stock purchase program

Compensation

The typical base salary range for this position is $173,460 – $231,980 annually, with eligibility for incentive compensation, equity, and benefits based on location, job level, and experience.