3 months ago
London, United KingdomSenior / Staff+
Responsibilities
- Design AI-driven target architectures and AI-based software factories for enterprise-scale autonomous software development.
- Develop AI-powered delivery pipelines that convert engineering processes, standards, and architectural guidelines into machine-executable workflows.
- Design governance mechanisms with validation, identity boundaries, and end-to-end traceability for trusted AI engineering environments.
- Implement automated testing, evaluation pipelines, architecture compliance checks, and red-teaming mechanisms for AI-generated systems.
- Translate enterprise knowledge into machine-readable architecture decisions, domain models, APIs, and business rules.
- Convert business intent into scalable architectures and integrate AI into existing system landscapes and operating models.
- Communicate complex technical architectures to technical and non-technical stakeholders and collaborate in global interdisciplinary teams.
Requirements
- Degree in Computer Science, Information Systems, AI Engineering, or a related field.
- Experience analyzing, designing, and optimizing tailored IT architectures, including knowledge of legacy systems, enterprise solutions, and current architecture trends.
- Hands-on experience with LLM-based applications, AI agents, or machine learning platforms.
- Familiarity with DevSecOps, CI/CD pipelines, automated testing, and platform engineering.
- Understanding of agent assembly lines, execution harnesses, context engineering, and secure scalable enterprise architectures.
- Ability to translate complex business requirements into technical architectures.
- Effective communication skills with technical and non-technical stakeholders.
- Flexibility and willingness to travel as needed.
Categories
Solutions Engineering
