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Moog

Designs precision motion control systems

AI Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBuffalo, NY, USA

About the Job

Requirements

  • A 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, machine learning, advanced analytics, and intelligent automation technologies.
  • Proficiency in one or more development languages such as Python, C#, JavaScript, or SQL.
  • 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.
  • 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.
  • Knowledge of cybersecurity, data governance, privacy, and Responsible AI concepts.
  • Experience collaborating with business stakeholders and cross-functional teams.

Responsibilities

  • 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 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 supporting AI-enabled business processes.
  • Integrate AI capabilities into existing business applications and digital platforms.
  • Collaborate with architects and developers to ensure solution scalability, maintainability, and performance.
  • Support system testing, user acceptance testing, deployment activities, and production readiness reviews.
  • Resolve technical issues and support ongoing enhancement initiatives.
  • Collaborate with data engineers and business teams to identify, prepare, and leverage data required for AI initiatives.
  • Develop dashboards, reports, analytics, and data-driven insights supporting business decision-making.
  • Evaluate emerging AI technologies, platforms, and capabilities 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.
  • Partner with Cyber Security, Enterprise Architecture, Data Management, and Corporate AI teams to ensure compliance 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.
  • Develop technical documentation, solution architectures, support procedures, and implementation guides.
  • Serve as a trusted technical advisor for AI-related initiatives and opportunities.
  • Contribute to establishing AI engineering standards, development frameworks, and best practices.
  • Foster innovation, continuous learning, and responsible AI adoption across the Commercial Aircraft Group.

Desired 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 large language model orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, Semantic Memory, or similar technologies.
  • 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 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.

About the Company

Moog

Designs precision motion control systems

Moog designs and builds precision motion control products for aerospace, defense, industrial, and medical sectors. Its core technology is electro-hydraulic servovalves that translate small electrical signals into precise, powerful motion, enabling flight control and guided missile systems; modern products extend into fiber optics and other motion control components. The company differentiates itself through its long heritage of aerospace-grade, mission-critical components, a large installed base in fighter jets and missiles, and growth via strategic acquisitions (e.g., COTSWORKS) to broaden capabilities. Moog’s goal is to provide reliable, high-performance motion control solutions that support complex aerospace and defense systems and expand across industries worldwide.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Town of Elma, New York
Founded
1951

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