Data and AI Solution Engineer

Responsibilities

• Develop and deliver highly impactful technical demonstrations, rapid proof-of-concepts (PoCs), and whitepapers to showcase Data and AI Practice capabilities, including Generative AI, Agentic AI, and Automation.
• Utilize AI-assisted software development practices to rapidly turn abstract mission requirements into functional, high-fidelity mockups and demos.
• Support opportunity shaping and qualification efforts through technical research and solutioning activities across Intel, Homeland Security, Defense, Space, and Commercial sectors.
• Translate complex mission needs into feasible and differentiated technical approaches, with a heavy emphasis on front-end UI/UX clarity to ensure maximum demo impact.
• Maintain a strong understanding of emerging GenAI frameworks, prompt engineering methodologies, government compliance requirements, and integration methods with enterprise systems.
• Participate in color team reviews and lead the refinement of solution content throughout the proposal lifecycle.
• Draft and contribute to technical volumes of RFI and RFP responses, ensuring alignment with customer requirements and mission objectives.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of experience in IT solution development, systems engineering, or pre-sales engineering.
• Strong proficiency in Python as a core scripting and orchestration language, with proven experience using Generative AI tools and applying advanced prompt engineering techniques.
• Experience designing clean, intuitive user interfaces for technical demonstrations, recognizing that a demo's impact hinges on visual clarity and user experience.
• Experience working within the Intelligence Community, DoD, or FedCiv markets.
• Strong working knowledge of Cloud Services (e.g., AWS, Azure, GCP, OCI) and Data Visualization tools.
• Experience responding to RFIs/RFPs and working on proposal teams in government contracting environments.

Preferred Qualifications

• Experience with AI-assisted software development tools (e.g., GitHub Copilot, Cursor) to accelerate prototyping cycles.
• Understanding of Agentic AI frameworks and the deployment of autonomous AI agents.
• Hands-on proficiency with specialized GenAI and LLM hosting platforms such as AWS Bedrock.
• Familiarity with tools such as Jupyter, Snorkel, or similar collaboration and prototyping environments.
• Background in implementing AI solutions in secure or classified environments.

Qualifications

• Must have a current/active TS/SCI clearance.

Physical Requirements

• Constantly operates a computer and other productivity machinery.
• Must be able to remain in a stationary position for prolonged periods.
• Travel may be required to support client meetings, technical demonstrations, or proposal efforts.