Solutions Engineer, Public Sector

Domino Data Lab builds AI solutions for highly regulated organizations, integrating model and application development, hosting, and governance capabilities. The Solutions Engineer, Public Sector will lead technical evaluations, demonstrations, proof-of-concept deployments, and solution architecture efforts for U.S. government and defense customers while supporting adoption and sales success.

Responsibilities:

• Lead technical evaluations and demonstrations of the Domino platform for customers across the Department of Defense, civilian agencies, federally funded research and development centers (FFRDCs), and major defense contractors
• Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure
• Collaborate with account executives to craft solution architectures that meet federal security and compliance standards (e.g., FedRAMP, IL5)
• Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles
• Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment
• Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key government accounts

Requirements:

• This position requires an active U.S. Secret Security Clearance (US Citizenship required), with the ability to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance and program access (post start). A U.S. Security Clearance that has been active in the past 24 months is considered active
• Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms. This does not necessarily need to be at a software vendor, equivalent solution engineering tasks internally or as a consultant developer could work
• Experience with U.S. public sector customers, especially within federal agencies, defense, or national labs — understanding their procurement processes, compliance constraints, and security environments
• Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise or government software deals
• Experience working in complex, highly regulated IT environments, including hybrid or air-gapped systems
• Proficiency in Python, R, and modern data science / machine learning tools
• Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS GovCloud, Azure Government, GCP), and networking concepts
• Understanding of the end-to-end AI lifecycle, from experimentation to production