AI Engineering Lead

The Artificial Intelligence (AI) Engineering Lead will lead Information Technology Solutions' (ITS) artificial intelligence and data science initiatives within the Office of Data & Analytics. The incumbent is a proactive leader who can act as a technical strategist and a hands-on expert. This position will partner with leaders across ITS and the UCR campus to bring high-impact AI and Data Science projects to life. As a key technical leader, the incumbent will be responsible for mentoring a team of AI professionals and serving as an AI technical enabler for ITS' development teams. The position will drive the adoption of AI across UCR by empowering teams to integrate AI capabilities into their work, whether it's embedded within custom applications, reporting, or intelligent agents. This role will involve having a constant pulse on solutioning to embed AI within existing products, processes, and initiatives. This position is classified as predominantly remote with occasional visits to campus as needed. Working hours will be based on Pacific Standard Time (PST). The full salary range for the AI Engineering Lead is $126,700 - $248,700 annually. However, the pay scale for this position is up to $200,000 annually. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs. Applicants must have current work authorization when accepting a UCR staff position. Currently, UCR is unable to sponsor or take over sponsorship of an employment Visa for staff. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. degree Bachelor's degree in related area and/or equivalent experience/training. Required experience 8 - 13 years of related experience. Required Must pass a background check. required Required Solid understanding of machine learning models, data science methodologies, and generative AI concepts. Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Self-motivated and works independently and as part of a team. Demonstrates problem-solving skills. Able to learn effectively and meet deadlines. Strong organizational skills. Expert analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. Expert knowledge of data management systems, practices and standards. Familiarity with data quality and governance issues and requirements. Thorough knowledge of relevant rules and regulations. Demonstrated ability to effectively communicate with executive-level management on a regular basis. Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail. Demonstrated ability to effectively communicate with executive-level management on a regular basis. Required