Solution Engineer – AI & Data Integration Specialist

Role Overview

• 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

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Tableau

Benefits

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