Solution Architect (Federal)

Latent AI is a well-funded spinout from SRI International, based on years of DARPA research.  We design advanced, yet easy to use, software developer tools that take the hard work out of embedding complex AI models into lean edge devices.  We transform the way developers train AI for the edge, enabling rapid AI deployment, speed to market and scalability.  Our patented Adaptive AI™ technology can be used on any edge hardware, framework, OS or architecture -- and gives us a true competitive market advantage. We are on contract with various services within DoD and are on track to achieve 6x growth this year. 

Latent AI is backed by Future Ventures, Blackhorn Ventures, Auto Tech Ventures, Booz Allen Hamilton,  Lockheed Martin, Standard Investments, Pegasus Tech Ventures, and SRI International.

Latent AI enables creation of more robust, efficient, and agile edge applications that improve user adoption and mission impact.Our current product mission is simplifying and accelerating traditional AI workflows from model training and optimization to deployment and support. Our flagship product, the Latent AI Efficient Inference Platform™ (LEIP), is a unified SDK built for machine learning engineers and AI software developers. Our solutions are being used in more places than ever before including manufacturing automation, predictive maintenance, process control, consumer electronics, and defense and aerospace applications. And we are just getting started.

We are seeking a Solution Architect to join our Federal Business team. The Solution Architect will serve as a technical leader and customer-facing strategist, responsible for shaping, designing, and guiding AI/ML solutions for federal clients. This individual will work closely with engineering, product, and business development teams to align Latent AI’s technology with mission requirements and ensure successful delivery of cutting-edge AI capabilities to federal partners.

• Partner with federal customers, business development, and program teams to define technical requirements and map mission needs to Latent AI solutions.
• Design solution architectures that integrate Latent AI software and services into customer systems, ensuring compliance with federal IT, cybersecurity, and mission requirements.
• Provide technical leadership in proposals, RFP responses, and customer demonstrations, acting as the subject matter expert for AI/ML solutions at the edge.
• Collaborate with product management and engineering to influence product roadmap based on federal mission use cases.
• Guide prototype development, proof-of-concept pilots, and system integration activities with government partners.
• Ensure compliance with relevant federal standards (e.g., CMMC, DoW) and security practices.
• Support the Federal Business team in developing and maintaining customer relationships, serving as a trusted technical advisor.
• Conduct technical briefings and training sessions for customers and internal stakeholders.

An ideal candidate would be someone with

• A bachelor’s degree in computer science, Engineering, or related field (Master’s preferred).
• 5+ years of experience in solution architecture, systems engineering, or technical consulting within the federal or defense sector.
• The candidate must be a U.S. Citizen or Permanent Residents (Green Card holder)
• Strong technical expertise in AI/ML, cloud, and edge computing architectures.
• Familiarity with federal acquisition processes, compliance frameworks, and security requirements.
• Proven ability to work in customer-facing roles, translating mission requirements into technical solutions.
• Experience with federal system integration, data management, and secure system deployments.
• Excellent communication, presentation, and stakeholder management skills.

Preferred:

• Active security clearance (Secret or higher) or ability to obtain one.
• Experience supporting DoD, Intelligence Community, or Civilian federal agencies.
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and MLOps pipelines.
• Preferred candidate will live near the greater Washington, D.C, area