Solution Engineer – AI & Data Integration Specialist

Salesforce

. As a specialist, you are more than a technical expert—you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data Cloud (Unified Data Management), and agentic AI to solve complex data and AI challenges.

Posted 4/21/2026full-timeCalifornia, New York, Texas, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $134,750 - $210,910 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformTableau

About the role

Key responsibilities & impact

As a specialist, you are more than a technical expert—you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data Cloud (Unified Data Management), and agentic AI to solve complex data and AI challenges.
You will serve as the single point of contact for sales teams, ensuring every data and AI opportunity is handled by a specialist who thinks like an architect, draws on prior hands-on delivery experience, and communicates outcomes and impacts in the voice of the business user and mission owner.
You will be a vital contributor to the success of our agency customers by conducting holistic discovery, reframing the "data-to-agentic-AI journey," and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos while enabling intelligent, autonomous agents.
In this role, you will bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management and real-time data unification to advanced analytics and the deployment strategy for intelligent agentic systems.

Requirements

What you’ll need

Architectural Mindset: Design secure, composable architectures that scale within highly regulated Public Sector 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 Cloud), and agentic AI platforms.
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 equivalent; prior experience with APIs, cloud infrastructure (AWS, Azure, GCP), and modern development practices is preferred.

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

MuleSoftTableauData Cloudagentic AIAPI managementdata unificationintelligent agentsLLM integrationorchestration frameworksRetrieval-Augmented Generation

Soft Skills

architectural mindsetstrategic communicationcollaborationinfluence

Certifications

degree in Computer Sciencedegree in IT