Systems Architecture & Technical Strategy Leader for AI Model Training
Role details
Job location
Tech stack
Job description
You operate at executive level across engineering, infrastructure strategy, and system resilience. 10x.team partners with leading frontier AI labs that require senior technical leaders to help train next-generation AI models.
This is not sprint planning. This is not architecture review. This is model shaping.
You will help AI systems reason about scalability limits, infrastructure economics, security exposure, regulatory friction, and long-term technical debt. Your systems thinking becomes structured training infrastructure.
Your Mission
You will contribute to reinforcement learning from human feedback datasets focused on advanced technical reasoning. You will:
- Draft complex scenarios involving distributed architecture decisions, build vs buy trade-offs, platform rewrites, security incidents, and scaling bottlenecks.
- Evaluate AI outputs for feasibility, resilience awareness, and risk exposure.
- Create prompt variants across contexts such as multi-cloud strategy, cloud sovereignty requirements, data residency constraints, and DevOps maturity gaps.
- Design cases that expose unrealistic scaling assumptions, ignored failure modes, and hidden operational fragility.
- Ensure outputs reflect GDPR, EU AI Act, NIS2, DORA, and European cloud sovereignty considerations.
- Collaborate asynchronously with the research coordination team.
Requirements
- 10+ years of senior technical leadership
- Experience scaling complex or regulated systems
- Strong expertise in architecture, cloud infrastructure, security, DevOps, or AI infrastructure
- Ability to identify second-order system risks quickly
Bonus
- Experience in regulated industries
- Cybersecurity incident leadership
- Multi-region infrastructure deployment
- Public or critical infrastructure exposure