Senior/Lead AI Engineer

Evaluate AI Solutions:

Analyze and benchmark AI platforms, LLMs, and agent frameworks for enterprise use.

Build Agentic Models:

Design and develop AI agents capable of reasoning, planning, and executing multi-step tasks.

Engineer LLM Applications:

Develop fine-tuned and optimized large language model applications with retrieval-augmented generation (RAG) pipelines.

Integrate with Enterprise Platforms:

Embed AI capabilities into OMS, CRM, loyalty, and digital platforms, ensuring seamless user and operational experiences.

Establish AI Engineering Practices:

Define standards for AI model deployment, observability, safety, and compliance.

Collaborate Across Teams:

Partner with Product, Digital Engineering, and Data Science to co-create AI-powered features and workflows.

Governance & Security:

Implement guardrails, privacy protections, and compliance controls for AI-enabled applications.

Lead & Mentor:

Guide a team of AI engineers and contribute to the enterprise AI strategy while remaining hands-on in technical delivery.

Minimum Education and/or Experience:

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.

Additional knowledge and skills:

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).

Tech Stack & Skill Requirements:

AI/ML Frameworks:

LangChain, LlamaIndex, Semantic Kernel, Hugging Face.

LLMs:

OpenAI GPT, Anthropic Claude, LLaMA, Falcon, or similar.

Vector Databases:

Pinecone, Weaviate, Redis Vector, or Azure Cognitive Search.

Programming Languages:

Python (preferred), TypeScript/Node.js for integrations.

Cloud Platforms:

Azure AI/ML services, Azure OpenAI, AWS Bedrock, or GCP Vertex AI.

MLOps:

MLflow, Azure Machine Learning, or equivalent model lifecycle tools.

Observability:

Langfuse, Weights & Biases, Application Insights for model monitoring.

Security:

OAuth 2.0, RBAC, data privacy, compliance frameworks (GDPR, PCI).

With more than 225 locations worldwide, Signature Aviation is the largest global network of private aviation terminals, delivering safe, convenient, and elevated experiences to those we serve. As a premier hospitality organization and a certified Great Place to Work™, we are committed to redefining private air travel. Our nearly 6,000-strong team of aviation experts and enthusiasts is dedicated to delivering excellence to our guests and communities, and it starts with taking care of our team. Signature provides a variety of benefits, programs, and resources to support our team members’ overall well-being and professional development. We proudly volunteer and give back, focusing on elevating the neighborhoods where we operate, empowering the next generation of aviation professionals, and supporting our veterans.

From your health to your financial wellness, there are several benefits for you and your family when joining Signature Aviation.

Our 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

Qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected characteristics.