Artificial Intelligence (AI), Business Development, Cloud Architecture, Cloud Computing, Communication Skills, Concrete, Cross-Functional, Customer Support/Service, Customer/Client Research, Data Structures, Ecosystems, GCP (Good Clinical Practices), Government, Licensing, Management Consulting, Presentation/Verbal Skills, Problem Solving Skills, Product Demonstration, Proposal Writing, Purchasing/Procurement, Sales Proposals, Sales Support, Sales/Support Engineering (SE), Software as a Service (SaaS), Solution Sales, Storytelling, Technical Consulting, Technical Leadership, Technical Support, Technical Writing
About Knexus
At Knexus, we are at the forefront of AI development for the government, with a mission to revolutionize how the government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.
What Sets You Apart
You are a builder of possibilities, not a vendor of products. You thrive in the gray area of custom engineering, possess an insatiable curiosity for how complex systems fit together, and get energized by helping DoW clients look at old problems through the lens of cutting-edge AI.
Position Overview
Knexus is seeking a highly creative, deeply technical, and mission-oriented Solution Architect / Sales Engineer to drive our custom AI solution growth within the DoW sector.
We deliver highly sophisticated AI solutions that solve complex mission challenges and are searching for someone who can help potential customers piece Knexus' technical capabilities into a strong, motivating narrative that solves their challenges.
A successful Solution Architect / Sales Engineer will listen to client pain points, understand Knexus' existing AI solutions and architectures, and creatively adapt those foundations to show prospects what is possible. Working at the intersection of Business Development and Engineering, you will build technical demos, architect AI solutions and write technical content that inspires DoW clients to think innovatively about AI.
Key Responsibilities
- Google AI Technical Leadership:Serve as the subject matter expert on the intricacies of Google AI products. Seamlessly integrate these tools into custom architectures to showcase modern, scalable AI capabilities.
- Architecture Adaptation & Solutioning: Deeply understand the frameworks, architectures, and underlying technologies of Knexus' existing AI solutions. Creatively tweak, combine, and leverage these core foundations to address entirely new challenge areas.
- Narrative & Demo Creation: Design and architect highly flexible, compelling technical demonstrations. Craft powerful, confident narratives that illustrate how a client's specific problems can be solved seamlessly by leveraging our established technology and experience.
- Technical Proposal Support: Support Knexus' sales & proposal efforts by writing compelling and credible technical content for inclusion into our proposals.
- Consultative Discovery & Client Research: Actively listen to DoW clients to uncover deeply rooted pain points, mission challenges, and operational bottlenecks. Translate these ambiguous needs into concrete technical opportunities.
- Cross-Functional Collaboration: Serve as the critical bridge between the Business Development (BD) and Development/Engineering teams. Ensure that proposed solutions are highly motivating and strategic for BD, while remaining realistic, feasible, and secure from an engineering perspective.
Required Qualifications
- Experience: 8+ years of experience supporting DoW clients, with a deep understanding of DoW mission areas, procurement culture, and operational environments.
- Professional Background: A proven track record in management or technical consulting. Candidates coming strictly from standard SaaS or product-licensing backgrounds will not be considered; we require a consultative, custom-delivery mindset.
- Technical Expertise: Knowledge of Google AI products and ecosystems (e.g., Gemini, Vertex AI, Google Cloud AI architecture) and how to deploy them flexibly for tailored demonstrations.
- Creative Problem Solving: Exceptional ability to piece together disparate technologies, frameworks, and data structures to formulate a cohesive, innovative custom solution.
- Communication & Storytelling: Superior communication skills with the ability to confidently present complex AI architectures to both highly technical stakeholders and executive mission owners.
- Collaboration Style: Proven ability to balance the urgency of business development with the technical pragmatism of engineering teams.