Agentic AI Engineer - Research Administration

Department: Research Informatics

About the role

The Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data, and support investigators across the institution. The role involves close collaboration with faculty, data scientists, and clinical collaborators, and contributes directly to research that advances patient care and scientific discovery.

Responsibilities

• Design, develop, and test AI agents and LLM-based pipelines that automate multi-step research and clinical-support tasks.
• Implement retrieval-augmented generation (RAG) and tool-use workflows to ground AI systems in institutional data and literature.
• Integrate AI components with internal data sources, APIs, and research applications under appropriate data-governance controls.
• Evaluate model and agent performance for accuracy, reliability, safety, and bias; document results and iterate based on findings.
• Collaborate with investigators to translate research questions into technical requirements and prototypes.
• Write clean, well-documented, reproducible code and maintain version-controlled repositories.
• Contribute to technical documentation, internal demos, and occasional grant or publication deliverables.
• Stay current with developments in agentic AI frameworks and apply relevant advances responsibly.
• Conduct activities in a professional and ethical manner, adhering to institutional policies and regulations.
• Coordinate work with other university areas to support the institution’s mission.
• Maintain confidentiality of sensitive data in accordance with policies and legal requirements.
• Participate in relevant committees or task forces.

Requirements

• Bachelor’s degree in computer science, data science, engineering, or a related field.
• 8 years of experience in Python and modern software-development practices (Git, testing, code review). Education may substitute for experience on a year-for-year basis.
• Experience with machine learning and large language models, including prompting and basic evaluation.
• Exposure to at least one agentic or LLM framework (e.g., LangChain, LlamaIndex, OpenAI/Anthropic SDKs) through coursework, internships, or projects.

Preferred Qualifications

• Graduate Certificate in Artificial Intelligence (AI).
• Experience building RAG systems, tool-using agents, or workflow automation with LLMs.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker).
• Interest in or exposure to healthcare, biomedical, or clinical-research data.
• Awareness of data privacy and security considerations, including HIPAA.
• Contributions to open-source projects, research, or a portfolio demonstrating applied AI work.

Skills

• Communication
• Collaboration
• Problem-solving

Benefits

• Day-one coverage for health, dental, and vision insurance, including health expense accounts with employer contributions.
• Employer-paid life insurance and long-term disability insurance.
• Paid time off (vacation, sick leave, and ten paid holidays), plus additional discretionary, bereavement, jury duty, military service, and parental leave.
• Retirement program with employer contributions and voluntary retirement options (457 or 403b).

Pay

The pay range for this position is $103,014.00 – $164,822.00, with a midpoint of $133,920.00. Compensation is determined using market data, education, experience, qualifications, and funding.

Schedule

Full-time, regular position.