Solutions Architect

About This Role

This Solutions Architect role is a great fit for someone earlier in their solutions architecture career who is ready to get hands-on with the product and grow quickly alongside customers and the team. The role involves customer engagement, pre-sales support, and technical strategy development within the Go-To-Market team.

Responsibilities

• Communicate effectively with Technical Points of Contact (TPOCs), building trust and acting as a technical advisor to guide customers toward achieving their mission-critical objectives
• Partner with Account Executives to deliver compelling product demonstrations, respond to RFPs, and craft technical responses to customer inquiries
• Build and tweak custom, targeted demos for prospective and existing clients using Python
• Work with containerized (Kubernetes) architecture, understanding how models are packaged and run consistently whether deployed on-prem or in the cloud
• Build and maintain cloud staging environments used for client demos
• Push PRs as part of demo and integration work
• Define technical strategies for customer engagements, ensuring scalability and alignment with organizational goals
• Act as a bridge between customer stakeholders and internal teams, translating business needs into technical requirements
• Support the development and review of technical architectures that align with customer requirements and industry best practices
• Identify technical risks in customer engagements and help propose mitigation strategies
• Support integration work involving national security systems and environments
• Work closely with marketing and product teams to create technical collateral and align customer feedback with product roadmaps

Requirements

• Active DoD SECRET clearance
• 2 to 5+ years of experience in a solutions architecture or solutions-architecture-adjacent role
• Hands-on coding ability, comfortable with Python and Python-based demo/app tools, and experience pushing PRs
• Working understanding of containerized/Kubernetes-based models and how they run across on-prem and cloud environments
• Exposure to data science, data engineering, AI/ML solutions, cloud platforms, and/or systems integration
• Excellent written and verbal communication skills to convey technical solutions to both technical and non-technical stakeholders
• A proactive, "figure it out and ship it" mindset; someone who leans into ambiguity rather than waiting to be told what to do

Nice to have:

• Prior Land, Sea, or Air Maintenance experience
• Exposure to Readiness domains like Predictive Maintenance, Munitions Storage Planning, and/or Supply Chain Management