Solution Architect
Serves as a technical bridge between defense customers and engineering teams, leading pre- and post-sale architecture discussions, demonstrations, deployments, and integrations. Requires UK security clearance eligibility, 3+ years in defense or a relevant technical domain, customer-facing consulting experience, and programming skills.
About the job
Responsibilities
- Provide technical pre-sales support for multi-domain systems and partnerships leads, identifying problem-solution fit and scoping technical solutions and delivery.
- Serve as the primary technical liaison between defense customers and Applied Intuition’s engineering and product teams.
- Support end users throughout the customer lifecycle to drive product adoption.
- Lead technical discussions, architecture reviews, demonstrations, and deployments in pre- and post-sale engagements.
- Onboard customer engineering teams to the code-first developer toolchain, SDK, and products.
- Integrate solutions with customers’ existing infrastructure.
- Manage multiple customer engagements in parallel.
Requirements
- UK Security Clearance or the ability to attain it.
- 3+ years of experience in the defense sector or a relevant technical domain.
- Experience working directly with customers on complex problems involving software and vehicle or autonomous systems.
- Degree in computer science, electrical engineering, or a related field.
- Basic to intermediate programming experience with C, C++, Python, or similar languages.
- Strong written and verbal communication skills in English.
Nice-to-haves
- Prior service in a European or allied military branch.
- Hands-on experience with Applied Intuition applications.
- Exposure to perception systems or AI/ML pipelines for in-vehicle experiences.
- Experience with simulation environments or digital twin platforms for validating vehicle software.
- Project management experience in cross-functional, customer-facing programs.
Compensation
- Annual salary: 90,000–150,000.
Skills
C, C++, Python, Autonomous Systems, Vehicle Systems, AI/ML, Perception Systems, Simulation, Digital Twins, SDKs
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