AI Engineer, Commercial Aircraft Group
Moog · On-site · Full-time · Buffalo, NY · United States
Posted (21h ago)
- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Oct 27, 2026. If Moog reposts it, we keep the original posting date.
- Pay
- $100k–$150k a year (from the description)
- Level
- Mid-level
- Work setup
- On-site
- Tech mentioned
- Azure, LLMs, Python, C#, JavaScript, SQL, React, Docker
- Moog hiring
- 19 roles posted in the last 30 days
Job description
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 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
How we care for you:
Financial Rewards:
Great compensation package, annual profit sharing, matching 401k, and the ability to participate in Employee Stock Purchase Plan, Flexible Spending and Health Savings Accounts
Work/Life Balance:
Flexible paid time off, holidays and parental leave program
Health & Welfare:
Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages
Professional Skills Development:
Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs
Culture:
Warm, respectful, family-like environment driven by our core values. Multiple Employee Resource Groups led by our employees, open and welcoming to all.
Additional Benefits:
Site-specific benefits may also be available depending on location and business needs.
#LI-TB2
Salary Range Transparency:
Buffalo, NY $100,000.00–$150,000.00 Annually
Salary Range Disclaimer
The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits.
This position requires access to U.S. export-controlled information.
Moog offers an inclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at 844-367-5787.
No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.
Moog job ID: AI-Engineer--Commercial-Aircraft-Group_R-26-20721
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