6 months ago
London, United KingdomStaff+
Responsibilities
- Serve as the lead technical strategist for public-sector engagements by translating mission requirements into architectural roadmaps and guiding onsite implementation.
- Architect production-grade AI application frameworks integrating interactive UIs, backend systems, and AI models.
- Guide cloud infrastructure evolution for security, global scalability, and long-term system integrity.
- Direct development of core platforms and shared services for diverse client use cases.
- Partner with cross-functional leadership on the technical roadmap and mentor senior and junior staff.
- Convert client and field lessons into reusable patterns for the broader engineering organization.
Requirements
- Master’s or PhD in Computer Science, or equivalent deep industry experience architecting complex distributed systems.
- 10+ years of full-stack experience with Python, Node.js, React, Kubernetes, and global cloud infrastructures such as AWS, Azure, or GCP.
- Experience designing high-scale, production-grade architectures with strong system integrity, security, and scalability.
- Extensive experience deploying and troubleshooting end-to-end solutions in complex, high-security client environments.
- Leadership experience resolving ambiguity, mentoring senior staff, and setting technical vision.
- Proficiency in Arabic.
- Experience building LLM-driven solutions is a preferred qualification.
- Experience as a startup CTO, founding engineer, forward-deployed engineer, or dedicated customer engineer is a preferred qualification.
- Experience working cross-functionally with operations is a preferred qualification.
Categories
Forward Deployed
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.