Solution Engineer - AI & Data Integration - US Federal
Role details
Job location
Tech stack
Job description
- Master the Stack: Complete intensive onboarding courses and certification paths for MuleSoft Anypoint Platform, Data 360, Tableau, and agentic AI capabilities.
- Build Your Point of View: Align with the go to market plan and begin building your "Data-to-Agentic AI Journey" whiteboarding and workshop skills.
- Shadow & Learn: Join active Public Sector engagements to observe how to lead discovery and architects multi-product AI + data solutions.
12 months:
- Own the Technical Win: Serve as the lead architect on complex, multi-cloud data and agentic AI opportunities, delivering higher win rates and faster deal cycles.
- Evangelize the Vision: Execute high-impact architectural workshops that showcase the power of unified data as the foundation for trustworthy intelligent agents.
- Enable the Ecosystem: Mentor account teams and partners on how to position "Data + Integration + Agentic AI" as the foundation for mission transformation.
- Drive Mission Outcomes: Successfully architect solutions that unify citizen/operational data, modernize legacy systems, enable real-time analytics, and deploy agentic AI capabilities that accelerate defense decision-making and operational excellence.
Requirements
- Architectural Mindset: Design secure, composable architectures that scale within regulated government environments (including FedRAMP High and Impact Level 4/5/6).
- Multi-Platform Technical Depth: Previous hands-on experience or deep conceptual knowledge across Integration (MuleSoft), Data Analytics (Tableau), Unified Data Management (Data 360), and agentic AI platforms. A qualified candidate will have expertise in two of the core data/integration capabilities plus demonstrated prior experience with agentic AI; a great candidate will have exposure across all.
- Agentic AI Experience: Demonstrated experience (2+ years is highly valued) with agentic AI solutions, including prior hands-on work designing or deploying intelligent agents, LLM integration strategies, orchestration frameworks, prompt engineering, and Retrieval-Augmented Generation (RAG) patterns.
- Strategic Communication: Excellent ability to reframe technical challenges into mission and business value for C-level government executives and technical stakeholders alike.
- AI Readiness: Deep understanding of "Trusted Context Foundations" for AI, including data grounding, metadata intelligence, and how unified data enables reliable agentic workflows.
- Collaboration & Influence: Proven ability to partner early with Account Executives to drive sales strategy and lead "Data + Agentic AI Discovery" from day one.
- Experience: Minimum of 5 years of professional experience in Solution Engineering, Enterprise Architecture, or Digital Transformation, with previous hands-on delivery experience in AI/data/integration projects.
- Technical Foundations: Degree in Computer Science/IT or other relevant training; prior experience with APIs, cloud infrastructure (AWS, Azure, GCP), and modern development practices is preferred.
- US citizenship required
Preferred Qualifications:
- Certifications: One or more of the following: MuleSoft Certified Architect, Tableau Desktop/Server Specialist, Salesforce Data 360 Consultant, AI Associate credentials, or equivalent.
- Industry Knowledge: Deep understanding of Public Sector/DoD compliance (FedRAMP, IL4/5/6) and common government data silos.
- Ecosystem Expertise: Familiarity with enterprise data platforms, data governance and MDM tools, plus prior exposure to agentic AI frameworks or orchestration patterns.
- Regulated Industry Experience: Background delivering AI solutions in highly regulated or mission-critical environments.
Benefits & conditions
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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $134,750 - $180,250 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