• A critical component of this role is navigating the intersection of innovation and regulation
• The AI Specialist will ensure the ethical use of AI via Salesforce capabilities and approaches including the Einstein Trust Layer and Agentforce Observability adhering to strict global compliance standards (e.g., FedRAMP, IL4/5/6, GDPR)
• As a trusted advisor, the AI Specialist will guide customers and agency leaders in shaping AI strategies that promote efficiency, transparency, and equitable outcomes for all citizens
• Architect Agentic Workflows: Design and demonstrate Employee, Service, and other types of Agentforce Agents that can reason, orchestrate multi-step tasks, and execute actions across disparate public sector systems

Data Foundation & Grounding: Demonstrate and collaborate with customers to identify foundational data-centric solutions using the Salesforce platform and Salesforce Data Cloud to enable Agentic and general Salesforce AI solutions that are grounded in relevant data to increase trust and reduce inaccuracies and hallucinations Trust & Governance Leadership: Serve as an expert on trust and governance of AI on the Salesforce platform, including the use of the Einstein Trust Layer, Session Tracing Data Model (STDM), and Data Cloud for AI governance, management, and observation

• AI Workshops & Prototyping: Lead "Build with AI" workshops and develop high-impact Proofs of Concept (POCs) that show how GenAI can solve specific agency pain points, such as benefits eligibility or emergency response routing
• Technical Sales Authority: Serve as the technical lead for strategic RFPs, ensuring that AI solutions are architecturally sound, scalable, and integrated with existing government legacy systems
• Product Feedback Loop: Collaborate directly with Salesforce Product Engineering to relay field requirements, ensuring Public Sector needs for feature parity are prioritized in the product roadmap

Understands how to integrate predictive and generative models in business processes and workflows

• Educational Foundation: B.S. computer, engineering, mathematical, or equivalent technical experience in implementation or technical pre-sales
• Sales Engineering Excellence: 5+ years of experience in technical pre-sales, focusing on SaaS, Cloud, or Enterprise AI
• AI/ML & LLM Mastery: Deep understanding and experience in multiple LLM models and integration via MCP and APIs with LLMs with 3rd party solutions
• Can recommend the appropriate technique and model for the workflow in question
• Prompt Engineering & Orchestration: Proficiency in advanced prompt engineering techniques (Chain-of-Thought, ReAct) and experience with AI orchestration frameworks
• Public Sector Acumen: Familiarity with the ethical implications of Generative AI in government, including bias mitigation and the "Right to Explanation" for automated decisions
• Communication Mastery: Ability to pivot from a deep-dive technical discussion with developers to a high-level strategic vision presentation for a C-Suite audience
• Salesforce Ecosystem: Current Salesforce AI Specialist Certification (or equivalent) and experience with Data Cloud or MuleSoft
• Industry Standards: Knowledge of government-specific security frameworks (FedRAMP, HIPAA, StateRAMP)

Visual Analytics: Experience using Tableau or CRM Analytics to visualize AI-driven insights and predictive trends

• Data Architecture: Strong understanding of vector databases, semantic search, and how unstructured data, images, and multi-modal solutions can be utilized in RAG-based solutions

Development Skills: Proficiency in coding languages such as Python, Node.js, Ruby, etc and familiarity with libraries like LangChain, PyTorch, or TensorFlow

• The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education
• In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience
• Certain roles may be eligible for incentive compensation, equity, and benefits
• Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program
• The typical base salary range for this position is $157,640 - $210,910 annually There is a different range applicable to specific work locations
• 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 $173,460 - $231,980 per year
• Your recruiter can share more about the specific salary range for the job location during the hiring process

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable