AWS Platform Engineer designing and building secure cloud platforms on AWS for IT Services company. Leading cloud architecture strategy and mentoring engineering teams.
About the role
- Director of AI Agents & Platform Engineering leading strategy for enterprise AI platforms at Signature Aviation. Building high-performing teams and scalable AI solutions for operational efficiency.
Responsibilities
- 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
Requirements
- 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
Benefits
- Medical/prescription drug, dental, and vision Insurance
- Health Savings Account
- Flexible Spending Accounts
- Life Insurance
- Disability Insurance
- 401(k)
- Critical Illness, Hospital Indemnity and Accident Insurance
- Identity Theft and Legal Services
- Paid time off
- Paid Maternity Leave
- Tuition reimbursement
- Training and Development
- Employee Assistance Program (EAP) & Perks
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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