"Senior AI Platform Engineer"

Senior AI Platform Engineer

Job ID:

Location: Remote/Hybrid

Schedule: 8AM - 5PM

Category: Information Technology

Salary: $93,200 - $174,200

Full/Part Time: Full-time(100%)

Organization: Info Technology Solutions

Department: Michael Kennedy

Application Deadline: Open Until Filled

Position Information:

The Senior AI Platform Engineer is responsible for the technical design, development, and implementation of a comprehensive and scalable Generative AI platform for UC Riverside's faculty, staff, and students. The role exists to provide the university with a robust infrastructure for leveraging advanced AI technologies within academic, research, and administrative applications. This position will lead the development of AI-driven microservices for university-wide application integration, develop campus chatbots for interacting with faculty, staff, students, prospective students, and the campus community, provide expert technical guidance and mentorship to development teams on generative AI best practices, and establish and maintain robust AI/ML Ops pipelines for efficient model deployment and management. The Senior AI Platform Engineer will serve as a technical subject matter expert, ensuring the platform's architecture and implementation meet the university's technical requirements for AI integration.

Information Technology Solutions (ITS) is recruiting for two (2) positions. Both are classified as predominantly remote with occasional visits to campus as required. Working hours will be based on Pacific Standard Time (PST).

The full salary range for the Senior AI Platform Engineer is $93,200 - $174,200 annually. However, the expected pay scale for this position is up to $135,000 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.

Requirements:

Educational Requirements

• Bachelor's degree in related area and/or equivalent experience/training. Required
• Master's degree in related area and/or equivalent experience/training. Preferred

Experience Requirements

• 6 - 10 years of related experience. Required

Special Conditions

• Must pass a background check. Required
• Exercise the utmost discretion in managing sensitive information... Required
• Occasional travel for university related business meetings, conferences and/or professional development. Required
• Travel Outside of Normal Business Hours Required

Minimum Requirements

• Advanced knowledge of secure software development.
• Highly advanced skills associated with software specification, design, modification, implementation and deployment of large-scale scope.
• Excellent project leadership and management skills.
• Demonstrated ability to understand functional needs and how systems can support those needs. Demonstrated ability to develop conversion and system implementation plans.
• Advanced experience with identification and use of code libraries and open-source forums.
• Advanced experience with planning for deployment and creation of feedback mechanisms.
• Demonstrated software repository skills.
• Experience developing and executing complex test plans.
• 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. Able to learn effectively and meet deadlines.
• Demonstrated complex problem-solving skills.
• Expertise in Large Language Models (LLMs) and related frameworks (e.g., LangChain, Transformers)
• Proficiency in prompt engineering techniques for optimizing LLM performance
• Strong understanding of agentic AI concepts and experience in building agentic AI applications (e.g., using Google Agent Builder)
• Experience in designing and implementing AI/ML Ops pipelines for model deployment, monitoring, and management
• Proficiency in building and deploying RESTful APIs and microservices for AI integration
• Strong understanding of cloud platforms (e.g., Google Cloud Platform, AWS, Azure), particularly Google Vertex AI
• Experience in developing and deploying chatbot applications.
• Knowledge of data privacy and security principles related to AI and machine learning

Preferred Qualifications

• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)

Key Responsibilities:

Applies advanced software concepts to plan, design, develop, modify, debug, deploy and evaluate highly complex software for functional areas. Analyzes existing highly complex software or works to formulate logic and devises algorithms for new highly complex software systems. Performs highly complex data analysis and tests/debugs highly complex software, working directly with management. Initiates, analyzes, designs and applies highly complex data sources. Applies and enforces complex programming security practices. https://jobsportal.ucr.edu/jobs/36827427