Added
19 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure aws ai mlops genai

📋 Description

  • Define and execute AI platform strategy and long-term technical direction for AI-first platforms.
  • Build scalable, reliable, and observable AI infrastructure for production workloads and delivery
  • Establish platform standards, service expectations, and consumption models for wide AI adoption.
  • Manage AI technology vendors, including contracts, performance, and issue escalation.
  • Lead incident management and continuous improvement of AI platform operations.
  • Partner with engineering, quality, compliance, and infrastructure teams to meet security and

🎯 Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 10+ years in platform engineering, data engineering, AI/ML infrastructure, or related roles.
  • Proven experience operating AI platforms in production environments.
  • Strong knowledge of GenAI runtimes, vector databases, agent orchestration, MLOps tooling, and
  • Hands-on experience with cloud platforms such as AWS or Azure.
  • Experience working with regulated environments and vendor management.

🎁 Benefits

  • Opportunity to lead enterprise-scale AI platform initiatives with business impact.
  • Flexible remote working environment.
  • Collaborate with global teams across engineering, AI, infrastructure, and business functions.
  • Continuous learning and professional development opportunities.
  • Opportunity to influence AI strategy and innovation.
  • Supportive culture focused on flexibility and collaboration.
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