Hybrid Senior Solutions Architect – Defence & Security

at Resaro

• Job title: Senior Solutions Architect – Defence & Security
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Munich, Germany

About the role

• Solution Architect designing custom AI testing solutions for defence and security clients. Collaborating with internal teams and managing project deliveries in Munich's embedded delivery environment.

Responsibilities

• Lead early discovery sessions and solution workshops with defence and government agencies focused on national security and public safety
• Map out client workflows and environment relating to data, processes, tools and orchestration
• Identify customer pain points and translate them into actionable solution concepts
• Define the functional architecture of AI testing systems tailored to GenAI or Computer Vision use cases
• Tailor testing strategies for different modalities, such as image classification, segmentation, text generation, and autonomous perception
• Prioritize features and tasks for the technical team based on mission value and delivery constraints
• Contribute to the design of evaluation frameworks for AI applications
• Work closely with engineers, ML scientists, and UI/UX designers to ensure solution quality
• Build reusable project plans and proposals to accelerate engagement across clients with similar needs
• Manage cross-functional teams and oversee project delivery, timelines, and deliverables
• Act as the primary stakeholder interface and communicate progress and risks effectively
• Understand customer AI development/deployment priorities, concerns, and pain points to pre-empt their solution needs

Requirements

• 5+ years in solution architecture, technical product management, or a similar role
• Experience working with or within defence teams or public-sector agencies, focusing on national security and public safety.
• Proven ability to deploy or evaluate AI systems
• Familiarity with common AI use cases like chatbots, RAG applications, agents, perception, surveillance and autonomous systems
• Strong skills in requirements gathering, stakeholder communication, and solution scoping
• Demonstrated success in leading cross-functional teams to deliver technical solutions
• Understanding of AI/ML lifecycle and the state-of-the-art approaches and limitations of testing and validating complex models
• Knowledge of deployment constraints in high-security or classified environments

Benefits

• Equal Opportunity Employer