Solutions Architect - Maritime Defense
Designs solution architectures and CONOPS for DoD pursuits, translates technical capabilities into customer narratives, leads engagements and demos, and liaises between growth and engineering teams. Requires 5+ years in technical pre-sales/systems engineering, DoD expertise, and active security clearance.
About the job
Responsibilities
- Design bespoke solution architectures, integration concepts, and Concept of Operations (CONOPS) for specific DoD pursuits.
- Translate complex software capabilities into mission-relevant narratives for government engineers, SETAs, and technical evaluation teams.
- Act as the technical engine for the BD team, providing the substance for white papers, capability briefs, and RFI/RFP technical volumes.
- Lead technical customer engagements, including deep-dive architecture reviews and product demonstrations.
- Serve as the primary liaison between Growth and Engineering/Product teams to ensure capture strategies align with our roadmap.
- Conduct competitive technical analysis to identify architectural strengths and weaknesses versus industry incumbents.
- Convert customer requirements and operational constraints into actionable technical feedback for our product development cycles.
Requirements
- BS or MS in Computer Science, Systems Engineering, or a related technical field.
- 5+ years of experience in technical pre-sales, systems engineering, or software architecture.
- Deep understanding of DoD technical environments, including classification levels (NIPR/SIPR/JWICS) and accreditation processes (ATO/IATT).
- Technical breadth across software architecture, data infrastructure, AI/ML, and edge computing.
- Proven ability to translate complex engineering concepts for non-technical Program Managers and senior stakeholders.
- Experience with systems integration and networking within operational military environments.
- Active Secret or Top Secret security clearance.
Nice to Have
- Familiarity with U.S. Navy platforms, systems, missions, and organizations.
- Experience with modeling and simulation (M&S) frameworks or autonomous vehicle stacks.
- Familiarity with DevSecOps pipelines and containerization (Kubernetes, Docker) in secure environments.
- Previous experience supporting a high-growth defense tech startup or a major defense prime.
Compensation
Base salary range: $200,000 - $250,000 (Washington, D.C. location).
Skills
Software Architecture, Data Infrastructure, AI/ML, Edge Computing, Systems Integration, Networking, Kubernetes, Docker, DevSecOps, Modeling And Simulation
Similar jobs
Solutions Architecture jobs
Perplexity
San Francisco, CA
Embeds with strategic enterprise customers to scope, build, deploy, and operationalize AI workflows using Perplexity Computer. The role requires 5+ years in customer-embedded technical work and strong capabilities across engineering, solutions architecture, and technical program management.
Bilt Rewards
New York, NY
Build and launch partner-facing integrations for Bilt’s platform, writing production Java code, troubleshooting APIs and data flows, and shaping developer resources and platform improvements. Requires 4–5+ years of hands-on engineering experience, strong API fluency, and excellent technical communication.
Glean
United States
Partners with sales teams to design, demonstrate, and validate Glean’s Work AI platform for enterprise customers. The role leads technical discovery, integrations, proof-of-concept cycles, security discussions, and ROI development, requiring 5+ years of solutions engineering experience and technical proficiency in cloud platforms and Python or Java.
Moment
New York, NY
Owns customer engagements from initial solutioning and demonstrations through implementation, launch, and account expansion. The role combines technical API and coding fluency with product judgment, executive communication, and end-to-end customer ownership.
Deepgram
San Francisco, CA
Build and deploy production voice AI solutions, integrations, tooling, and agents for strategic enterprise customers. The role combines hands-on engineering, customer-embedded delivery, production debugging, platform feedback, and regular on-site collaboration.