AI Systems Analyst
Listed on 2026-07-26
-
IT/Tech
Data Analyst, AI Engineer (Applied/Software)
Job Title
AI Systems Analyst
Reporting ToApplications & Data Manager
- Commercial Aircraft Group
Hybrid
- 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. Headquartered in the Buffalo-Niagara region, Moog has more than 75 years of proven innovation delivering precision control technologies across air, land, sea, and space.
Our Commercial Aircraft Group (CAG) in East Aurora, NY is currently seeking an AI Systems Analyst to join a collaborative and technically driven team. In this role, you will report directly to the Commercial Aircraft Group IT Applications and Data Manager and support data-driven and digital initiatives that enable Moog's commercial aerospace programs. The position offers a hybrid working environment within a culture focused on engineering excellence, innovation, and long-term career growth.
Asour AI Systems Analyst, you will make critical contributions by holding responsibility for:
Development and configuration of end-user applications, systems, databases, or websites that are integrated with AI technology
Analyze current business processes and identify opportunities for AI integration and automation
Evaluate and select appropriate AI technologies and tools based on project requirements
Collaborate with cross-functional teams to design AI systems that align with business goals
Monitor AI system performance and recommend improvements or optimizations
Develop and maintain documentation related to AI system specifications, configurations, and best practices
Stay updated with the latest trends and advancements in AI and machine learning
Bachelor's in Computer Science, Software Engineering, or other relevant degree is required
3-5+ years of experience in application and analytics development
Experience in AI system analysis, design, or implementation
Strong understanding of AI technologies including machine learning, natural language processing, and virtual agents
Understanding of data governance, security, and responsible AI principles is preferred
Proficiency in programming languages including C#, Python, and SQL
Experience working with data integration, structured and unstructured data sources, and enterprise systems
Working experience/knowledge Apache Spark (PySpark or Scala), Python + PySpark, SQL-first, PowerBI, MLFlow, ETL jobs, and cloud storage (AWS), a plus
Strong communication and collaboration abilities
Ability to translate complex technical concepts for non-technical stakeholders
Experience working in an Agile Development environment is a plus
A continuous learning mindset and interest in advancing AI capabilities within the business
- Financial Rewards: great compensation package, bonus opportunities, matching 401k, and the ability to participate in Employee Stock Purchase Plan (select locations), Flexible Spending and Health Savings Accounts
- Work/Life Balance:
Flexible paid time off, holidays and parental leave program, relocation assistance. - 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 12 core values. Multiple Employee Resource Groups led by our employees, open and welcoming to all.
This position requires access to U.S. export-controlled information.
This position also requires the ability to obtain a U.S. security clearance.
EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran
Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity,…
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