Hybrid Principal AI Agentic System Engineer

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About the role

  • Principal Engineer designing and implementing next-generation AI systems for intelligent automation at Signature Aviation. Collaborating to deliver AI capabilities that enhance operational performance and decision-making.

Responsibilities

  • Architect scalable agentic AI systems that enable intelligent automation and decision support across enterprise operations
  • Design and implement AI solutions supporting dynamic pricing and revenue optimization initiatives
  • Develop predictive systems that improve ramp capacity planning, operational throughput, and workforce utilization
  • Engineer LLM-powered applications using retrieval-augmented generation (RAG), agent frameworks, and orchestration platforms
  • Design AI-driven automation solutions that streamline operational workflows and task management
  • Build and maintain pipelines that enrich enterprise datasets, including crew, customer, and CRM data platforms
  • Integrate AI capabilities with enterprise platforms and operational systems
  • Establish engineering standards and architectural patterns for AI and LLM-based application development
  • Ensure responsible AI implementation, including governance, monitoring, and security considerations
  • Provide technical leadership, architectural guidance, and mentorship to engineering teams building AI capabilities

Requirements

  • 10–12+ years of experience in software engineering, distributed systems, or AI/ML platform development
  • Demonstrated experience building and deploying production-grade LLM applications or agent-based AI systems
  • Strong expertise in cloud-native architecture and scalable platform design
  • Experience integrating AI systems with enterprise data and operational platforms
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (advanced degree preferred)
  • Experience with LLM application frameworks such as LangChain, LlamaIndex, or Semantic Kernel
  • Experience integrating with foundation models such as OpenAI GPT, Claude, or LLaMA-based systems
  • Knowledge of vector databases such as Pinecone, Weaviate, or Redis Vector
  • Strong programming experience with Python and TypeScript
  • Experience with enterprise AI platforms including Azure AI, AWS Bedrock, or Google Vertex AI
  • Experience with model lifecycle management and MLOps platforms such as MLflow or Azure ML
  • Familiarity with AI observability tools such as Langfuse or Weights & Biases
  • Experience implementing enterprise authentication and security patterns such as OAuth2 and RBAC
  • Familiarity with pricing optimization systems, operational analytics, or forecasting platforms
  • 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

Principal AI Agentic System Engineer

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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