AI Engineer

Qualifications:

• Education: Bachelors 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

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.