- AI Solution Engineer
- Intelligence, Surveillance and Reconnaissance
- Intelligence Capability
Duties & Role:
AI Solutions Requirements Engineer for AI Opportunities & Solutions Cell for space based Intelligence, Surveillance and Reconnaissance (ISR) and Related Intelligence Capability Program Plans (CPPs).
Requirements engineering and AI opportunity analysis:
- Conduct horizon scanning, customer surveys, and review existing requirements for potential alignment and optimization
- Collaborate with stakeholders and end users to understand requirements for advanced analytics and AI tools.
- Analyze near- and long-term AI opportunities with clear operational value for space-based ISR workflows.
- Recommend methods to strengthen data collection and management to enhance space-based intelligence workflows
- Advise on integrating AI solutions into programs such as Intelligence CPPs, APSS, SINBAD, and other related initiatives.
- Perform a review of emerging AI technologies and recommend applications for NATO's ISR capabilities
Requirements
Skills, Knowledge & Experience:
- The candidate must have a currently active NATO SECRET security clearance
- A nationally recognized or certified university degree in computer science, system engineering, or a related field.
- Exceptionally, candidates without a university degree may qualify if they possess significant expertise (minimum 3 years) relevant to the role and duties.
- 5+ years requirements/systems engineering for complex systems in defense or industry
- At least 2 years' experience in writing AI-related requirement documents.
- Proven delivery in secure or regulated environments; collaboration with multi-stakeholder, multinational teams.
- Experience aligning solutions with programmes.
- In depth understanding of AI workflows and systems integration of analytical tools.
- Applied understanding of image-based AI (computer vision) to elicit and specify testable requirements.
- Proven ability to facilitate ideation/workshops, prototype concepts, and convert ambiguous needs into clear, testable requirements and actionable roadmaps.
- Ability to translate complex technical concepts into operational requirements for non-technical stakeholders.
- Strong project coordination and organization, including timeline and priority management.
