.Purpose Statement: The AI Software Engineer II is responsible for designing, developing, and implementing new or modified software products for ongoing AI/decision technology projects. They collaborate closely with various teams and stakeholders, including Data Scientists, Architects, Analysts, Project Managers, and other developers, to ensure software projects meet requirements. A key focus of this role will be supporting the AI/Decision Technology Team and their respective applications. This position will work on integrating different AI algorithms to create user and data friendly solutions. Key Job Accountabilities: Collaboration: Actively collaborate with cross-functional teams to conceptualize and develop or enhance software applications, ensuring adherence to project requirements, best practices, and business objectives. Software Development: Research, design, write, test, and implement high-performing code for software applications, ensuring they meet project requirements, coding standards and best practices. Integrate AI models into production systems and monitor their performance. Documentation: Prepare and maintain project documentation, including design and unit test documents, with a preference for UML proficiency. Testing and Quality Assurance: Participate in testing and quality assurance activities, including code reviews, unit testing, and bug identification. Help ensure software meets quality standards. Innovation and Research: Stay updated on emerging software development technologies and best practices, actively seeking opportunities and contributing ideas to improve development processes and efficiency. Creation of functional and friendly user and data interfaces. Education/Experience Qualifications: Typically requires a Bachelor's degree and a minimum of 2 years of related experience; or equivalent work experience. Minimum of 1 year of AI/decision technology integration and development experience. Other Qualifications: English Proficiency Experience with cloud platforms such as AWS, Google Cloud, or Azure for AI model deployment. Agile and Lean Six Sigma certifications are desirable Experience with .NET / C# - Design and setup development framework with n-tier environment (C#/.NET). Knowledge in Python, Machine Learning, IoT and Big Data analysis User Interface (UI) / User Design (UX) Action oriented Ability to escalate issues appropriately Present information for decision making purposes with little to no direction Strong time management skills Ability to multi-task i.E. managing multiple projects A strong passion for software development and willingness to learn and grow. Strong problem-solving and analytical abilities. Ability to work effectively in a team. Excellent communication and teamwork skills. Physical Requirements: Professional office environment with suitable lighting, comfortable temperatures, and low noise level. May require prolonged periods of sitting at a desk, using a computer, and other office equipment
