Added
4 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

cloud infrastructure machine learning distributed systems ai evaluation

πŸ“‹ Description

  • Own the technical architecture end to end, including AI technology strategy, AI architecture, and
  • Deploy agentic engineering at scale for business processes such as matching, vetting, onboarding
  • Make AI quality measurable through ownership of evals, regression suites, and review loops
  • Rebuild platform development and operations, raising output per engineer via AI-assisted
  • Decide team composition and own resourcing, workforce planning, headcount, role definition, and
  • Lead the engineering team, setting standards, developing people, and ensuring accountability

🎯 Requirements

  • Bachelor's degree in Computer Science, Engineering, or related technical field required; advanced
  • 15+ years of progressive engineering leadership, including significant time as a CTO or VP of
  • Deep, current, hands-on command of modern AI engineering: foundation models, agentic architectures
  • Experience deploying agentic systems at scale with measured outcomes on cost, cycle time, quality
  • Rigor about evaluation of model, prompt, or agent changes with evidence
  • Command of the economics of model routing, hosting, inference capacity, latency and cost budgets
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest β€” finding, filtering, and applying while you focus on what matters.

Related Engineering Jobs

See more Engineering jobs β†’