Senior Engineer, AI Platforms

Signature Aviation-posted 2 days ago
Full-time • Mid Level
Orlando, FL
5,001-10,000 employees
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At Signature Aviation, we are modernizing operations and customer experiences through technology and AI. We are seeking a Senior Engineer – AI Platforms to help design, build, and implement AI-driven solutions that support intelligent automation, predictive insights, and AI-enabled workflows. In this role, you will contribute to the development of LLM-based applications and AI integrations across enterprise platforms, partnering closely with architects, product teams, and data teams to deliver secure, scalable, and responsible AI solutions.

  • Evaluate AI Technologies: Support the assessment and proof-of-concept evaluation of AI platforms, LLMs, and agent frameworks for enterprise use.
  • Develop AI Agents & Workflows: Build and enhance AI agents capable of supporting multi-step reasoning, automation, and task execution under established architectural patterns.
  • Engineer LLM Applications: Design and implement LLM-based applications, including retrieval-augmented generation (RAG) pipelines, prompt engineering, and model optimization.
  • Integrate with Enterprise Platforms: Contribute to embedding AI capabilities into OMS, CRM, loyalty, and digital platforms in partnership with engineering and product teams.
  • Apply AI Engineering Standards: Follow established practices for AI model deployment, monitoring, safety, and compliance.
  • Cross-Functional Collaboration: Work closely with Product, Digital Engineering, and Data Science teams to deliver AI-powered features and enhancements.
  • Responsible AI & Security: Adhere to AI governance, privacy, and security controls when developing and deploying AI solutions.
  • Mentorship & Knowledge Sharing: Provide informal mentorship to junior engineers and share best practices, while remaining primarily focused on hands-on delivery.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in software engineering, AI/ML, or data-driven platforms.
  • Hands-on experience building and deploying LLM-powered applications in production or near-production environments.
  • Working knowledge of RAG pipelines, embeddings, and vector search technologies.
  • Experience developing cloud-based AI solutions (Azure preferred).
  • Strong software engineering fundamentals and ability to deliver production-quality code.
  • Familiarity with responsible AI concepts, data privacy, and secure system design.
  • AI/ML Frameworks: LangChain, LlamaIndex, Semantic Kernel, Hugging Face (or similar).
  • LLMs: OpenAI GPT, Anthropic Claude, LLaMA, Falcon, or comparable models.
  • Vector Databases: Pinecone, Weaviate, Redis Vector, 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 & Monitoring: MLflow, Azure Machine Learning, Langfuse, or similar tools.
  • Security & Compliance: Familiarity with OAuth 2.0, RBAC, and data privacy principles.
  • Security: OAuth 2.0, RBAC, data privacy, compliance frameworks (GDPR, PCI).
  • Exposure to regulated or operationally complex environments is a plus.
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