Senior AI Engineer – Agentic Solutions & Digital Thread

About the role

Moog is seeking a Senior AI Engineer to lead the design, development, and operation of enterprise AI‑enabled applications. The role focuses on agentic architectures, advanced Retrieval‑Augmented Generation (RAG), and intelligent automation within a multi‑site aerospace and defense manufacturing environment.

Key responsibilities

• Serve as lead developer for AI and agentic solution use cases, translating business needs into scalable, auditable, and explainable implementations.
• Align solutions with the Digital Thread, Master Data Management, Intelligent Automation, and Smart Factory initiatives.
• Experiment with emerging AI techniques and coach development teams on agentic software delivery.
• Assist colleagues with complex problems and design elegant, secure solutions.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or equivalent experience.
• 8+ years of professional software development, including 3+ years focused on AI/ML solutions.
• Hands‑on experience with agentic AI frameworks (Semantic Kernel, AutoGen, LangChain/LangGraph, CrewAI, etc.), Model Context Protocol, and multi‑agent orchestration.
• Proven ability to design advanced RAG architectures, vector databases, embedding models, and context‑engineering techniques.
• Strong communication skills for collaboration with both technical and non‑technical stakeholders.

Required skills

• Python
• C# / .NET or TypeScript
• Microsoft Azure services and cloud‑native architectures
• CI/CD pipelines, Infrastructure as Code, automated testing, Agile/DevOps
• Databricks and lakehouse architectures
• Vector databases, embedding models, Retrieval‑Augmented Generation
• Semantic Kernel, AutoGen, LangChain, LangGraph, CrewAI
• Model Context Protocol (MCP) and secure tool integration patterns