AI Engineer, Commercial Aircraft Group

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title : AI Engineer, Commercial Aircraft Group Reporting To: IT Director - Commercial Aircraft Work Schedule: Onsite – Buffalo, NY Job Description Moog, Inc. is a global leader in high-performance motion control systems, designing and manufacturing advanced solutions that support aerospace, defense, industrial, and medical applications worldwide. Our Commercial Aircraft Group (CAG) in East Aurora, NY is currently seeking an AI Engineer to join a collaborative and innovative technology team. In this role, you will design, develop, deploy, and support Artificial Intelligence, Generative AI, advanced analytics, intelligent agents, and automation solutions that accelerate business transformation across engineering, manufacturing, operations, quality, and supply chain functions. You will serve as a key technical contributor responsible for building scalable AI-powered solutions that improve productivity, streamline business processes, enable data-driven decision-making, and deliver measurable business value while partnering with stakeholders across the business and IT organizations. To be considered for this AI Engineer role, here's what you'll typically need to bring with you: Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, Information Systems, Engineering, or a related field Typically 3-7 years of combined experience in software development, solution engineering, automation development, data engineering, analytics, machine learning, artificial intelligence, or related technical disciplines Experience designing, developing, testing, and deploying enterprise applications and business solutions Knowledge of Artificial Intelligence, Generative AI, Large Language Models (LLMs), machine learning, advanced analytics, and intelligent automation technologies Experience with Microsoft Copilot Studio, Microsoft Copilot, Power Platform, Azure AI Services, Azure OpenAI, Power Automate, and related technologies is preferred Proficiency in one or more development languages such as Python, C#, JavaScript, SQL, or similar technologies Experience integrating applications with enterprise systems, APIs, databases, and cloud-based platforms Understanding of data architecture, data modeling, data quality, and analytics principles Familiarity with modern web technologies and frameworks such as React, Angular, or Vue.js Hands-on experience with Microsoft Azure including DevOps, messaging systems, and Infrastructure as Code Experience with Blazor (Server or WebAssembly) is preferred Experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, Semantic Memory, or similar technologies is preferred Practical knowledge of containerization technologies including Docker, Kubernetes, and/or Azure Container Apps Understanding of distributed system architectures and design patterns Experience with REST APIs and testing tools such as Postman, Insomnia, or REST Client Experience with unit testing and integration testing Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions Knowledge of cybersecurity, data governance, privacy, and Responsible AI concepts Experience working collaboratively with business stakeholders and cross-functional teams Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Experience supporting manufacturing, aerospace, engineering, supply chain, quality, or operations environments is preferred Experience building AI-powered copilots, intelligent agents, and conversational applications is a plus Experience developing Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and semantic search capabilities is a plus Familiarity with ERP, MES, PLM, quality management, and manufacturing systems is preferred Knowledge of MLOps, prompt engineering, AI evaluation frameworks, and model governance practices is preferred Experience with Agile development methodologies and product-based delivery models is preferred Microsoft, Azure, AI, Power Platform, or software development certifications are a plus As our AI Engineer, you will make critical contributions by holding responsibility for: Design, develop, test, deploy, and support AI-powered applications, intelligent agents, copilots, analytics solutions, and automation capabilities Partner with business stakeholders to understand requirements, identify opportunities, and translate business challenges into technical solutions Develop scalable and reusable AI-enabled capabilities aligned with enterprise architecture standards Build and maintain integrations between AI solutions, enterprise systems, data sources, and business applications Implement prompt engineering, grounding, retrieval, and orchestration techniques to improve AI solution quality and reliability Design and develop Microsoft Copilot, Copilot Studio, Azure OpenAI, and Generative AI solutions supporting business and operational objectives Create and maintain enterprise copilots, agents, and conversational experiences that improve productivity and access to information Develop knowledge retrieval, search, and recommendation capabilities leveraging enterprise content and data sources Support proof-of-concept, pilot, and production AI implementations Continuously evaluate and optimize AI model performance, accuracy, usability, and business value Develop APIs, services, connectors, workflows, and integrations supporting AI-enabled business processes Integrate AI capabilities into exi