AI Platform Engineer II - San Francisco, United States - University of California , San Francisco

Description

F_IT EIA Platform

Full Time

77902BR

Job Summary

As an AI Platform Engineer II, you will be an integral part of the Enterprise AI Platform Team, supporting all missions of UCSF in health, research, and education. You will be working with our proprietary AI tool, Versa, which supports both chat and API connection capability. This role offers an exciting opportunity to develop your skills in AI, machine learning, and programming while contributing to a team that's innovating at the intersection of technology and healthcare.

As part of your role, you will be actively involved in the creation, QA, and launch of AI models on our Versa platform. Your job will also involve close collaboration with stakeholders, understanding their requirements, and transforming them into effective AI-based solutions. Working closely with the team and EIA Platforms Manager, the maintenance and enhancement of our existing AI software's performance will fall under your purview, as will the task of improving the Versa platform's functionality with chat and API capabilities. We value continuous learning and growth. Therefore, you'll be expected to constantly expand your AI knowledge and skills, staying at the forefront of industry developments.
Your role and responsibilities include:

• Collaborate with various users and customers to understand project requirements and objectives.
• Assist in the design, development, and maintenance of Versa AI platform.
• Write clean, maintainable, and efficient code for various parts of Versa AI, under the guidance of senior developers and manager.
• Participate in data collection, processing, and analysis to prepare datasets and data sources.
• Conduct basic tests and experiments to evaluate the performance of AI tools.
• Document code, algorithms, and model performance to ensure transparency and maintainability.
• Stay up-to-date with the latest AI research and techniques to suggest improvements to existing tools.
• Collaborate with various teams to assist in deploying AI solutions into development, testing, and production environments.
• Participate in code reviews to learn from peers and contribute to the team's knowledge.
• Assist in troubleshooting and resolving issues related to AI applications.
• Support the team in maintaining a robust and secure AI infrastructure, following best practices in cybersecurity.
• Engage in continuous learning and professional development to grow skills in AI and machine learning.

The final salary and offer components are subject to additional approvals based on UC policy.

To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search )

Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.

For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.

To learn more about the benefits of working at UCSF, including total compensation, please visit:

Department Description

As a preeminent health sciences campus and health system of the University of California, San Francisco (UCSF) is at the forefront of creating a new knowledge from the exploding volume of clinical discovery and education data that it creates and manages. UCSF believes that the ability to leverage these data assets is an important differentiator for an academic healthcare center and is critical to our drive toward Precision Medicine and the execution of key UCSF strategies for Clinical Enterprise. These strategies include supporting better population health by improving the quality of care and population health of the University of California's health system's 14 million patients. As part of this exciting and important endeavor, UCSF is seeking a highly qualified Enterprise Information Management Administrator.

Enterprise Information Analytics vision is advancing UCSF's ability to care, heal, teach and discover by providing ubiquitous access to relevant and high-quality information and analytics. We do this by working with our clinical, research, education and business customers to organize, integrate and govern UCSF's information assets and then develop targeted data sets and analyses that provide important insights. We also work with cross-functional teams across UCSF to deliver AI solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field. Equivalent work experience of 2+ years will be considered.
• 2+ years of relevant experience
• Experience working with AI and machine learning models.
• Proficiency in programming languages such as .NET, Python, R, JavaScript, SQL, etc.
• Strong problem-solving skills and ability to think algorithmically.
• Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail.
• Excellent written and verbal communication skills.
• 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.
• Demonstrated problem-solving skills. Able to learn effectively and meet deadlines.
• Demonstrated service orientation skills.
• Strong organizational skills.
• Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems.

Preferred Qualifications

• UI/UX development experience in web and/or mobile applications.
• REST API programming experience.
• Experience with generative AI large language models, prompt engineering, retrieval-augmented generation, and/or fine-tuning.

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Organization

Campus

Job Code and Payroll Title

007198 DATA SYS ANL 2

Job Category

Clinical Systems / IT Professionals

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Flexible (combination of onsite and remote work), Mission Center Building (SF), San Francisco, CA

Shift

Days

Shift Length

8 Hours

Additional Shift Details

M-F 8AM-5PM PST