Principal AI Agentic System Engineer
Signature Aviation
full-time
Posted on:
Location Type: Hybrid
Location: Orlando • Florida • United States
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Job Level
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systemsLLM applicationscloud-native architecturescalable platform designPythonTypeScriptMLOpsmodel lifecycle managementpredictive systemsautomation solutions
Soft Skills
technical leadershiparchitectural guidancementorship