AI Engineer

Moog Inc. is seeking an AI Engineer for its Commercial Aircraft Group in Buffalo, NY. This onsite role supports the design, development, deployment, and ongoing support of AI-powered solutions focused on generative AI, analytics, intelligent agents, and automation that drive measurable business value across engineering, manufacturing, operations, quality, and supply chain.

What you will do

• Design, develop, test, deploy, and support AI-powered applications, intelligent agents, copilots, analytics solutions, and automation capabilities
• Collaborate with business stakeholders to understand requirements, spot opportunities, and convert business challenges into technical solutions
• Create scalable and reusable AI-enabled capabilities aligned with enterprise architecture standards
• Build and maintain integrations connecting AI solutions with enterprise systems, data sources, and business applications
• Apply 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 aligned to business and operational objectives
• Develop and maintain enterprise copilots, agents, and conversational experiences that improve productivity and access to information
• Develop knowledge retrieval, search, and recommendation capabilities using 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 that enable AI-enabled business processes
• Integrate AI capabilities into existing business applications and digital platforms
• Partner with architects and developers to support scalability, maintainability, and performance
• Support system testing, user acceptance testing, deployment activities, and production readiness reviews
• Troubleshoot technical issues and support ongoing enhancement initiatives
• Work with data engineers and business teams to identify, prepare, and leverage data required for AI initiatives
• Create dashboards, reports, analytics, and data-driven insights that support business decision-making
• Assess emerging AI technologies and platforms for applicability within the Commercial Aircraft Group
• Identify opportunities to improve business processes through AI, automation, and advanced analytics
• Design and implement solutions that comply with enterprise cybersecurity, data governance, privacy, and Responsible AI requirements
• Coordinate with Cyber Security, Enterprise Architecture, Data Management, and Corporate AI teams to follow established standards
• Support user adoption through demonstrations, documentation, training materials, and knowledge-sharing activities
• Provide technical guidance to business users, citizen developers, and AI champions
• Produce technical documentation, solution architectures, support procedures, and implementation guides
• Act as a trusted technical advisor for AI-related initiatives and opportunities
• Help establish AI engineering standards, development frameworks, and best practices
• Promote innovation, continuous learning, and responsible AI adoption across the Commercial Aircraft Group

What you bring

• 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 across 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
• Preferred: experience with Microsoft Copilot Studio, Microsoft Copilot, Power Platform, Azure AI Services, Azure OpenAI, Power Automate, and related technologies
• 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
• Preferred: experience with Blazor (Server or WebAssembly)
• Preferred: experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, Semantic Memory, or similar technologies
• 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 to explain technical concepts to technical and non-technical audiences
• Preferred: experience supporting manufacturing, aerospace, engineering, supply chain, quality, or operations environments
• Plus: experience building AI-powered copilots, intelligent agents, and conversational applications
• Plus: experience developing Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and semantic search capabilities
• Preferred: familiarity with ERP, MES, PLM, quality management, and manufacturing systems
• Preferred: knowledge of MLOps, prompt engineering, AI evaluation frameworks, and model governance practices
• Preferred: experience with Agile development methodologies and product-based delivery models
• Plus: Microsoft, Azure, AI, Power Platform, or software development certifications

Technologies involved

• Microsoft Copilot Studio, Microsoft Copilot, Power Platform, Azure AI Services, Azure OpenAI, Power Automate
• Python, C#, JavaScript, SQL
• React, Angular, Vue.js
• Microsoft Azure, DevOps, messaging systems, Infrastructure as Code
• Blazor, LangChain, LangGraph, Semantic Kernel, Semantic Memory
• Docker, Kubernetes, Azure Container Apps
• REST APIs; Postman, Insomnia, REST Client; unit testing, integration testing
• Retrieval-Augmented Generation (RAG), ERP, MES, PLM
• MLOps, prompt engineering, AI evaluation frameworks, model governance practices
• Agile

Compensation and schedule

• Location: Buffalo, NY (onsite)
• Reporting to: IT Director - Commercial Aircraft
• Salary range: USD 100,000 to 150,000 per year
• Work schedule: Onsite – Buffalo, NY

Benefits

• Great compensation package
• Annual profit sharing
• Matching 401k
• Ability to participate in Employee Stock Purchase Plan
• Flexible Spending
• Health Savings Accounts
• Flexible paid time off
• Holidays
• Parental leave program
• Comprehensive insurance coverage including medical, dental, vision, life, disability
• Employee Assistance Plan (EAP)
• Tuition assistance
• Mentorship and coaching opportunities
• Leadership development and other personal growth programs
• Multiple Employee Resource Groups
• Site-specific benefits may also be available depending on location and business needs