Hybrid Lead Engineer, AI Platforms

at Signature Aviation

• Job title: Lead Engineer, AI Platforms
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud
• Location requirements: Hybrid, Orlando, United States

About the role

• Lead Engineer for AI Platforms at Signature Aviation, developing AI capabilities for private aviation applications. Oversee AI solutions, mentor engineers, and ensure compliance and security.

Responsibilities

• Analyze and benchmark AI platforms, LLMs, and agent frameworks for enterprise use.
• Design and develop AI agents capable of reasoning, planning, and executing multi-step tasks.
• Develop fine-tuned and optimized large language model applications with retrieval-augmented generation (RAG) pipelines.
• Embed AI capabilities into OMS, CRM, loyalty, and digital platforms, ensuring seamless user and operational experiences.
• Define standards for AI model deployment, observability, safety, and compliance.
• Partner with Product, Digital Engineering, and Data Science to co-create AI-powered features and workflows.
• Implement guardrails, privacy protections, and compliance controls for AI-enabled applications.
• Guide a team of AI engineers and contribute to the enterprise AI strategy while remaining hands-on in technical delivery.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s or PhD preferred.
• 8+ years of professional experience in software engineering, AI/ML, or data platforms.
• Proven expertise in building and deploying LLM-powered applications and agentic AI models.
• Hands-on experience with RAG pipelines, embeddings, and vector search in production.
• Strong understanding of cloud-native AI services (Azure preferred).
• Experience guiding teams, delivering complex AI projects, and driving innovation.
• Experience with multimodal AI (vision, speech, structured data).
• Background in AI governance, responsible AI, or applied ethics.
• Publications, patents, or open-source contributions in AI/ML.
• Familiarity with aviation, logistics, or operational technology domains.
• Background in regulated industries (aviation, logistics, finance, or hospitality).

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