AI Engineer

Moog Inc. is seeking an AI Engineer for its Commercial Aircraft Group to design, develop, deploy, and support AI-powered solutions. The role focuses on generative AI, analytics, intelligent agents, and automation, with an emphasis on delivering measurable value across engineering, manufacturing, operations, quality, and the supply chain.

Key Responsibilities

• Design, develop, test, deploy, and support AI-powered applications, intelligent agents, copilots, analytics solutions, and automation capabilities
• Work with business stakeholders to clarify requirements, identify opportunities, and translate business needs into technical solutions
• Develop scalable, reusable AI-enabled capabilities aligned with enterprise architecture standards
• Create and maintain integrations between AI solutions, enterprise systems, data sources, and business applications
• Apply prompt engineering, grounding, retrieval, and orchestration techniques to improve quality and reliability of AI solutions
• Design and develop Microsoft Copilot, Copilot Studio, Azure OpenAI, and Generative AI solutions aligned to business and operational objectives
• Build 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 deployments of AI initiatives
• Continuously evaluate and optimize model performance, accuracy, usability, and business value
• Develop APIs, services, connectors, workflows, and integrations that support AI-enabled business processes
• Integrate AI capabilities into existing business applications and digital platforms
• Collaborate with architects and developers to support scalability, maintainability, and performance
• Assist with system testing, user acceptance testing, deployment activities, and production readiness reviews
• Resolve technical issues and support ongoing enhancements
• Partner with data engineers and business teams to identify, prepare, and leverage data required for AI efforts
• Create dashboards, reports, and analytics that support data-driven business decisions
• Assess emerging AI technologies, platforms, and capabilities for applicability to the Commercial Aircraft Group
• Identify process improvement opportunities through AI, automation, and advanced analytics
• Design and implement solutions that meet enterprise cybersecurity, data governance, privacy, and Responsible AI requirements
• Coordinate with Cyber Security, Enterprise Architecture, Data Management, and Corporate AI teams to ensure alignment with 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
• Serve as a trusted technical advisor for AI-related initiatives and opportunities
• Contribute to AI engineering standards, development frameworks, and best practices
• Promote innovation, continuous learning, and responsible AI adoption across the Commercial Aircraft Group

Required Qualifications

• 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
• 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 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, including 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 for explaining technical concepts to technical and non-technical audiences

Preferred Qualifications

• Experience with Microsoft Copilot Studio, Microsoft Copilot, Power Platform, Azure AI Services, Azure OpenAI, Power Automate, and related technologies
• Experience with Blazor (Server or WebAssembly)
• 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
• Experience supporting manufacturing, aerospace, engineering, supply chain, quality, or operations environments
• Experience building AI-powered copilots, intelligent agents, and conversational applications
• Experience developing Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and semantic search capabilities
• Familiarity with ERP, MES, PLM, quality management, and manufacturing systems
• Knowledge of MLOps, prompt engineering, AI evaluation frameworks, and model governance practices
• Experience with Agile development methodologies and product-based delivery models
• Microsoft, Azure, AI, Power Platform, or software development certifications

Technologies

• 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

Salary range: USD 100,000 - 150,000 per year

Salary range transparency (Buffalo, NY): $100,000.00–$150,000.00 annually

Location and Schedule

• Work location: Buffalo, NY (onsite)
• Work schedule: Onsite
• Reporting to: IT Director - Commercial Aircraft

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