Senior Enterprise Solution Architect

About This Opportunity

We are representing a confidential cybersecurity technology company that is scaling an AI-native platform already validated by enterprise customers in demanding industries. They are transitioning from customer-validated technology to a scalable, secure, production-ready enterprise software platform, and they need a Senior Enterprise Solution Architect to help build this technical foundation.

This is a role for someone who enjoys technical ownership in complex enterprise environments and wants to help shape platform architecture at a high-impact growth stage. You will work closely with the CTO, Engineering, DevOps and Delivery teams to build reusable architecture, integration and deployment patterns that scale across multiple customers and verticals.

Responsibilities

• Help shape the target architecture of an enterprise-grade AI platform
• Design reusable API, integration, deployment and customer-edge patterns
• Define practical standards for production readiness, scalability, maintainability and technical documentation
• Contribute to release, deployment, monitoring, observability and runbook standards
• Embed security by design, IAM, auditability, secrets handling and data-flow control into architecture decisions
• Translate customer requirements into reusable product and architecture building blocks
• Support technical customer workshops with IT, Security, Product Security, Architecture and Engineering teams

What We're Looking For

Our client seeks someone who combines solid enterprise architecture experience with enough technical depth to make architecture practical, implementable and scalable. You do not need to be a pure software engineer, but you should be able to understand complex systems, structure technical decisions and work closely with engineering teams.

Required qualifications:

• Experience as a Solution Architect, Enterprise Architect, Platform Architect, Technical Lead, Technical Consultant or similar role
• Strong understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes
• Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation
• Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations
• Ability to define reusable architecture patterns instead of building one-off customer solutions
• Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps
• Ability to structure complex technical topics, document decisions clearly and align technical stakeholders
• Very good English and German language skills

Nice to have:

• Experience with cybersecurity, product security, vulnerability management or security operations
• Experience with regulated or complex enterprise environments
• Experience with Python, FastAPI, Docker, Kubernetes, Terraform, OpenAPI or similar technologies
• Experience with SQL databases, graph databases or complex data models

You do not need to fulfill every point. What matters most is that you can understand complex technical systems quickly, create structure and help build a platform that scales beyond individual customer projects.

Location and work arrangement: Leipzig, Germany with a hybrid work model. Remote work within Germany is possible, with on-site presence required for important workshops, team days and internal sessions. Workation option available for up to 2 weeks per year globally.

How We Work With You

Get A Job.ai partners with select organizations to identify exceptional talent. When you apply through our platform, our talent team will review your background and conduct an initial screening conversation. If there is a strong mutual fit, we will coordinate your introduction to our client and support you throughout the interview process.

Our client maintains a deliberately lean hiring process: first introduction, technical discussion, and then a fast decision. Please do not attempt to contact the client directly, as all applications must come through Get A Job.ai to be considered.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Additional benefits through the client include:

• High ownership and the opportunity to shape architecture, standards and scalability of an AI-native platform
• Direct collaboration with CTO, Engineering, Product, Delivery and Management
• Short decision paths with high impact and direct responsibility
• Individual learning and development opportunities
• Regular team events and offsites
• Monthly grocery allowance and benefits card

Get A Job.ai is an equal opportunity recruiter. We work with clients who value diverse perspectives and we encourage applications from candidates of all backgrounds.