Job Description
The AI Knowledge Systems Specialist will design, build, and support enterprise AI-powered knowledge solutions that improve access to information, streamline workflows, and enhance organizational decision-making. This role will lead the development of structured knowledge repositories and AI-enabled workflows using approved tools, starting with a grant-writing knowledge repository.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
3+ years of experience across data engineering, knowledge management, informatics, workflow automation, business analysis, or related technical roles, with a proven ability to translate business or scientific requirements into practical solutions
Hands-on experience leveraging LLM-based tools or enterprise AI platforms to support operational, research, or knowledge management workflows, including prompt design and reusable workflow patterns
Strong experience organizing structured and unstructured data to enable search, retrieval, analysis, reporting, and improved AI-driven output quality
Nice to Have Skills & Experience
Experience designing and supporting AI-assisted workflows (e.g., LLMs, RAG, enterprise search) with a focus on evaluating output quality, source accuracy, and user feedback
Strong experience building knowledge structures, including taxonomies, metadata models, and reusable repositories, along with clear technical documentation and maintenance processes
Familiarity with regulated or research environments (e.g., clinical trials, GxP, CDISC standards) and experience using Python, SQL, or similar tools for data preparation and workflow automation
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.