Systems Architecture & Technical Strategy Leader for AI Model Training

10x Team
4 days ago

Role details

Contract type
Temporary to permanent
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Artificial Intelligence
Cloud Computing
Computer Security
DevOps
Distributed Systems
Scrum
Systems Architecture
Reinforcement Learning
Technical Debt

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

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