Define and lead the enterprise AI platform strategy supporting revenue optimization, operations intelligence, and automation initiatives
Build and lead high-performing AI engineering teams responsible for developing and scaling AI capabilities across the enterprise
Drive the design and deployment of AI solutions enabling dynamic pricing, revenue optimization, and demand forecasting
Lead development of predictive operational models to optimize ramp capacity, staffing, and operational throughput
Establish enterprise data and AI architecture supporting scalable model deployment, orchestration, and monitoring
Advance AI-driven data enrichment across CRM, crew, and operational data platforms
Implement intelligent task orchestration and automation capabilities that improve operational efficiency across locations
Establish governance frameworks for responsible AI, security, and model lifecycle management
Partner with Product, Commercial, Operations, and Technology leadership to align AI capabilities with strategic business priorities
Evaluate emerging AI technologies and platforms to continuously improve enterprise AI capabilities
Communicate strategy, progress, and measurable business impact to executive leadership

12–15+ years of experience in software engineering, AI/ML platforms, or data systems
7+ years leading engineering teams delivering complex distributed systems or enterprise AI platforms
Demonstrated experience building and scaling AI or machine learning platforms in production environments.
Experience leading cross-functional initiatives across engineering, product, and business stakeholders
Bachelor’s degree in Computer Science, Engineering, or a related technical field (advanced degree preferred)
Experience with enterprise AI platforms such as Azure AI, AWS Bedrock, or Google Vertex AI
Experience building LLM-enabled applications using frameworks such as LangChain or Semantic Kernel
Knowledge of vector databases and retrieval-augmented generation architectures
Strong proficiency in Python and distributed systems development
Experience operating containerized platforms using Kubernetes and CI/CD pipelines
Familiarity with AI monitoring, model lifecycle management, and MLOps platforms
Experience designing AI systems supporting revenue optimization, pricing intelligence, or operational forecasting
Experience in aviation, logistics, mobility, or other large-scale operational environments preferred

Director, AI Agents – Platform Engineering

Key skills