AI Engineer

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.

Responsibilities:

• Design, develop, evaluate, and deploy AI-powered applications, intelligent agents, and agent workflows that support PACE Advanced Concepts innovation initiatives.
• Build reliable integrations between AI systems, enterprise data sources, APIs, cloud services, and third-party platforms to enable practical business and product use cases.
• Configure, test, and assess AI models, agents, orchestration patterns, and Microsoft Foundry capabilities to determine fit, reliability, effectiveness, and business value.
• Create rapid prototypes, proof-of-concepts, and demo-ready solutions that translate early ideas into working AI-enabled applications or product experiences.
• Develop reusable frameworks, components, documentation, and repository structures that allow successful prototypes to be understood, maintained, and matured over time.
• Support emerging product concepts such as Virtual Caddie, golf strategy tools, conversational experiences, speech-enabled workflows, and future AI-powered golf technology capabilities.
• Apply software engineering discipline to maintain code quality, source control, cloud development environments, technical documentation, testing practices, and scalable solution patterns.
• Collaborate with business stakeholders, engineers, product teams, leadership, and technology partners to define requirements, communicate tradeoffs, and iterate quickly based on feedback.
• Monitor emerging AI technologies, models, platforms, and multimodal capabilities, and recommend practical opportunities to advance PACE Advanced Concepts objectives.

Qualifications:

• Education: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, Engineering, Information Systems, or a related technical field required.
• Years of Experience: 5+ years of experience in software engineering, AI engineering, machine learning engineering, cloud application development, or related technical work. Experience independently designing, developing, deploying, and supporting AI-enabled applications in enterprise or product development environments preferred.
• Software Knowledge: Proficiency in at least one modern programming language required. Experience developing software applications, integrating REST APIs, utilizing source control and collaboration platforms such as Git, GitHub, or Azure DevOps, and deploying applications within cloud-based environments required. Experience designing, testing, debugging, and maintaining production-quality software solutions required.
  Experience with Python is strongly preferred. Experience developing applications using technologies such as C#, JavaScript, and TypeScript preferred. Experience with Azure AI Services, Azure OpenAI, Microsoft Foundry, large language models (LLMs), retrieval augmented generation (RAG), intelligent agents, workflow orchestration, and conversational or multimodal AI technologies preferred.
• Additional Requirements: Strong software engineering and problem-solving skills with the ability to translate ambiguous business or product concepts into practical technical solutions. Demonstrated ability to communicate technical concepts, risks, and recommendations to technical and non-technical stakeholders. Experience working within security-conscious and governed environments, including disciplined testing, deployment, documentation, and maintenance practices. Ability to balance rapid innovation and prototyping with solution scalability, maintainability, and long-term support requirements. Interest in golf technology, player experience, course operations, connected products, or emerging technology innovation is preferred.
• 10-15% travel required