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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.
Responsibilities
- 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.
Requirements
- You are a builder as much as an advisor.
- You are comfortable picking up new tools and technology, and are not afraid to get hands-on.
- You can craft and deliver an engaging story and also pressure-test the architecture behind it.
- You go deep without getting lost and wide without getting shallow.
- You bring field presence and credibility across a range of levels with your ability to effectively engage customer executives, enterprise architects, data platform owners, security and governance leaders, technical practitioners, sellers, partners, and delivery stakeholders.
- 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.
Skills
- Salesforce Data 360 (Data Cloud)
- Agentforce
- MuleSoft
- Tableau
- Informatica
- Salesforce Platform
- AWS (including AWS GovCloud)
- Microsoft/Azure Government
- Palantir
- Databricks
- Snowflake
- Conversational AI
- voice-enabled AI agents
- real-time voice orchestration
- telephony integrations
- multi-channel service experiences
- Modern data platforms
- AI agents
- generative AI
- AI governance and observability
- external agent ecosystems
- hyperscaler AI services
- enterprise automation
- public sector security and compliance requirements (e.g. FedRAMP, StateRAMP, CJIS, IL4/IL5, NIST 800-53)
- identity/access frameworks common in government environments
- Python
- common data structures and tooling
- AI-assisted development pipelines
- Building demos, prototypes, proofs of concept, workshops, reference architectures, or field enablement assets.
Location
- California
- New York
- Boston
- Chicago
- Seattle
- Washington DC
Work Type
- Full-time
Experience Level
- 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.
Education Level
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, other STEM degrees or equivalent work experience.
- Graduate study a plus.
Salary/Compensations
- The typical base salary range for this position is $173,460 - $231,980 annually
- In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $190,750 - $255,150 per year.
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
About the Company
- 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.
Equal Opportunity
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
- Know your rights: workplace discrimination is illegal.
- Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
- This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.
- It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
- Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
- The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
- Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.