Added
5 hours ago
Type
Full time
Salary
Salary not provided

Related skills

cloud infrastructure machine learning distributed systems ai engineering leadership

📋 Description

  • Define and execute the overall AI technology strategy, including model selection and fine-tuning
  • Deploy agentic systems across critical business workflows, including matching, vetting, onboarding
  • Establish rigorous AI evaluation frameworks, regression suites, quality standards, and review
  • Transform engineering practices through AI-assisted development, code review, testing, and
  • Own the technical architecture end to end, including services, data flows, interfaces, system
  • Drive throughput, reliability, technical debt reduction, build-versus-buy decisions, and the cost

🎯 Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field is required, with
  • 15+ years of progressive engineering leadership experience, including significant experience as a
  • Deep and current hands-on expertise in modern AI engineering, including foundation models, agentic
  • Proven experience building, fine-tuning, deploying, and operating foundation models or advanced AI
  • Demonstrated success deploying agentic systems at scale against real business processes with
  • Strong expertise in AI evaluation and the ability to demonstrate precisely how model, prompt, or

🎁 Benefits

  • Fully remote position with a globally distributed working environment.
  • Full-time, exempt employment.
  • Opportunity to shape the organization’s entire technology and AI strategy at executive level.
  • Significant hands-on ownership across AI architecture, engineering, infrastructure, product
  • High-impact opportunity to deploy advanced AI and agentic systems across core business workflows.
  • Direct collaboration with executive and product leadership on company-wide strategy and execution.
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