AI Engineer, Commercial Aircraft Group

Description

The company makes high-performance motion control systems for aerospace, defense, industrial and medical customers worldwide.

The team sits in the Commercial Aircraft Group in East Aurora, NY, and is hiring an AI Engineer to build AI, generative AI, analytics, agent and automation tools across engineering, manufacturing, operations, quality and supply chain.

The role is onsite in Buffalo, NY and reports to the IT Director for Commercial Aircraft.

You will be a hands-on technical contributor, building scalable AI solutions that raise productivity, simplify business processes, support data-driven decisions and deliver measurable value while working with business and IT stakeholders.

Responsibilities

• Design, build, test, deploy and support AI-powered applications, agents, copilots, analytics and automation.
• Work with business stakeholders to clarify needs, spot opportunities and turn business problems into technical solutions.
• Build reusable, scalable AI capabilities that follow enterprise architecture standards.
• Create and maintain integrations between AI solutions, enterprise systems, data sources and business applications, including APIs, services, connectors and workflows.
• Apply prompt engineering, grounding, retrieval and orchestration to improve the quality and reliability of AI solutions.
• Design and develop Microsoft Copilot, Copilot Studio, Azure OpenAI and generative AI solutions for business and operational goals.
• Build enterprise copilots, agents and conversational tools that make information easier to reach and work faster.
• Develop knowledge retrieval, search and recommendation features using enterprise content and data.
• Support proof-of-concept, pilot and production AI work, including system testing, user acceptance testing, deployment and production readiness reviews.
• Measure and improve model performance, accuracy, usability and business value over time.
• Integrate AI into existing business applications and digital platforms.
• Work with architects and developers to keep solutions scalable, maintainable and fast.
• Work with data engineers and business teams to find, prepare and use the data AI projects need.
• Build dashboards, reports and insights that support business decisions.
• Resolve technical issues and lead ongoing enhancements.
• Assess new AI technologies and platforms for use in the Commercial Aircraft Group.
• Find ways to improve business processes using AI, automation and analytics.
• Build solutions that meet cybersecurity, data governance, privacy and Responsible AI rules, working with Cyber Security, Enterprise Architecture, Data Management and Corporate AI teams.
• Help users adopt AI through demos, documentation, training and knowledge sharing, and advise business users, citizen developers and AI champions.
• Write technical documentation, solution architectures, support procedures and implementation guides.
• Act as a trusted technical adviser on AI initiatives.
• Help set AI engineering standards, development frameworks and best practices, and encourage continuous learning and responsible AI use across the group.

Requirements

• Bachelor's degree in computer science, information technology, software engineering, data science, information systems, engineering or a related field.
• Typically 3 to 7 years of combined experience in software development, solution engineering, automation, data engineering, analytics, machine learning, AI or related technical work.
• Experience designing, building, testing and deploying enterprise applications and business solutions.
• Knowledge of AI, generative AI, large language models, machine learning, advanced analytics and intelligent automation.
• Experience with Microsoft Copilot Studio, Microsoft Copilot, Power Platform, Azure AI Services, Azure OpenAI, Power Automate and related technologies (preferred).
• Proficiency in at least one development language such as Python, C, JavaScript or SQL, or similar.
• Experience connecting applications with enterprise systems, APIs, databases and cloud platforms.
• Understanding of data architecture, data modeling, data quality and analytics principles.
• Familiarity with modern web 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 (preferred).
• Experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, Semantic Memory or similar (preferred).
• Practical knowledge of containers, 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 and integration testing.
• Strong analytical and problem-solving skills, with the ability to turn business requirements into technical solutions.
• Knowledge of cybersecurity, data governance, privacy and Responsible AI concepts.
• Experience working with business stakeholders and cross-functional teams.
• Strong communication skills, with the ability to explain technical ideas to technical and non-technical audiences.
• Experience in manufacturing, aerospace, engineering, supply chain, quality or operations environments (preferred).
• Experience building AI-powered copilots, intelligent agents and conversational applications (a plus).
• Experience developing retrieval-augmented generation (RAG) solutions, knowledge retrieval systems and semantic search (a plus).
• Familiarity with ERP, MES, PLM, quality management and manufacturing systems (preferred).
• Knowledge of MLOps, prompt engineering, AI evaluation frameworks and model governance (preferred).
• Experience with Agile methods and product-based delivery (preferred).
• Microsoft, Azure, AI, Power Platform or software development certifications (a plus).

Conditions

Onsite in Buffalo, NY.

Pay range is $100,000.00 to $150,000.00 per year.

Actual pay varies by location, experience and performance, and the range is one part of total compensation.

The role requires access to U.S. export-controlled information.

Recruitment agencies must be invited by the talent team and have signed terms before submitting candidates; unsolicited resumes sent to employees will not qualify for a fee and become company property.

Benefits

• Competitive pay, annual profit sharing, a 401k with company matching, and the option to join the employee stock purchase plan, flexible spending account and health savings account.
• Flexible paid time off, holidays and a parental leave program.
• Medical, dental, vision, life and disability insurance, an employee assistance program and supplemental coverage.
• Tuition assistance, mentoring, coaching, leadership development and other growth programs.
• A respectful, family-like culture guided by core values, with employee-led resource groups open to everyone.
• Annual bonuses, region-specific benefits and site-specific benefits may also be available, depending on location and business needs.