Principal AI Agentic System Engineer

Posted 6 Days Ago
Be an Early Applicant
Orlando, FL, USA
Hybrid
Expert/Leader
Aerospace
The Role
Leads the architecture and implementation of production-grade agentic AI systems for automation, forecasting, dynamic pricing, operational optimization, and enterprise data enrichment. Builds LLM applications using RAG, agent frameworks, and orchestration platforms; integrates AI with operational systems; establishes engineering, governance, monitoring, and security standards; and provides technical leadership and mentorship across AI engineering teams.
Summary Generated by Built In

At Signature Aviation, we are modernizing operations and customer experiences through advanced data platforms and artificial intelligence. We are seeking a Principal Engineer – AI Agentic Systems to design, architect, and implement next-generation AI systems that enable intelligent automation, predictive insights, and autonomous decision-making across the enterprise.

This role will lead the technical design of agentic AI systems that support initiatives such as dynamic pricing for revenue optimization, ramp capacity optimization, predictive revenue and operational forecasting, crew and CRM data enrichment, and automated task orchestration across operational teams. The Principal Engineer will partner closely with AI engineers, data scientists, platform teams, and operational leaders to deliver scalable AI capabilities that improve efficiency, decision-making, and operational performance across Signature’s global network. 

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 

Qualifications

Minimum Education and/or Experience:

• 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)


Additional knowledge and skills:

• 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 

About Us

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.

Skills Required

  • 10-12+ years of experience in software engineering, distributed systems, or AI/ML platform development
  • 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
  • Experience with LangChain, LlamaIndex, or Semantic Kernel
  • Experience integrating 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 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

Signature Aviation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Signature Aviation and has not been reviewed or approved by Signature Aviation.

  • Healthcare Strength Core medical, dental, and vision coverage is described as solid, with HSA/FSA options and protections like life and disability insurance. An Employee Assistance Program and wellness initiatives reinforce the health and wellbeing support.
  • Retirement Support A 401(k) retirement plan is a consistent component of the package. Retirement benefits are presented as dependable and broadly available.
  • Leave & Time Off Breadth Paid time off includes vacation, sick days, paid holidays, military leave, and bereavement leave. Some roles note the ability to carry over vacation time.

Signature Aviation Insights

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The Company
HQ: Orlando, FL
5,000 Employees
Year Founded: 1992

What We Do

Signature Aviation is the world’s preeminent aviation hospitality company, offering exceptional experiences and essential support services to business and private aviation guests. The company’s large-scale infrastructure footprint enables travel, fosters human connection and is a critical global economic driver. Signature operates an industry-leading network of private aviation terminals, with over 200 locations covering key destinations in 27 countries across five continents and is the largest distributor of sustainable aviation fuel (SAF). The company also offers nearly 15 million square feet of carbon neutral multiuse office and hangar real estate globally, providing unique networkwide benefits and advantages to guests who base their aircraft at a Signature location. For more information, please visit www.signatureaviation.com.

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