University of California, Riverside · 1 hour ago
Senior AI Platform Engineer
The University of California, Riverside is seeking a Senior AI Platform Engineer to design, develop, and implement a scalable Generative AI platform for its community. This role involves leading the development of AI-driven microservices, creating chatbots for user interaction, and providing technical guidance on AI best practices.
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Responsibilities
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
Establish and maintain robust AI/ML Ops pipelines for efficient model deployment and management
Serve as a technical subject matter expert, ensuring the platform's architecture and implementation meet the university's technical requirements for AI integration
Qualification
Required
Bachelor's degree in related area and/or equivalent experience/training
Master's degree in related area and/or equivalent experience/training
6 - 10 years of related experience
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
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Benefits
Generous employee benefits package
Company
University of California, Riverside
Two Nobel laureates. Member of the Association of American Universities. Second in the nation for social mobility.
Funding
Current Stage
Late StageTotal Funding
$2.5MKey Investors
US Department of Commerce, Economic Development Administation
2019-04-15Grant· $2.5M
Leadership Team
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