Solution Architect / Sales Engineer

Role Description

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, FedCiv, DHS, and/or Intel 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.
• Creatively adapt those foundations to show prospects what is possible.
• Build technical demos, architect AI solutions, and write technical content that inspires federal clients to think innovatively about AI.

Key Responsibilities

• 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 federal 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.

Qualifications

• Experience: 8+ years of experience supporting federal clients, with a deep understanding of federal 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: Hands-on software development background (Python, Java, etc.) with a deep understanding of core AI fundamentals, including complex algorithmic domains like automated planning, scheduling, and multi-agent systems, alongside cloud AI ecosystems (e.g., Gemini, Vertex AI).
• Creative Problem Solving & Library Adaptation: Ability to dig directly into internal software libraries, map complex algorithmic components to new use cases, and rapidly build functional proof-of-concept demos or technical mocks for client discussions.
• Technical Proposal Support: Draft concrete, technically rigorous initial proposal sections and white papers that explain how our underlying algorithms, planners, and architectures will solve specific federal mission needs.