Senior Applied AI Engineer

About this role

Become a part of our caring community We are looking for a highly capable Senior Applied AI Engineer to support advanced AI initiatives focused on generative AI, embeddings, and ServiceNow data integration. The focus of this role is the advancement of AI capabilities in the IT Service Management (ITSM) space. The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business teams to deliver scalable, intelligent solutions using Databricks and Azure. Come join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health! Key Responsibilities: Contribute to software projects emphasizing AI systems in VSCode/Pycharm, GitHub, and Databricks. Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure Kubernetes Service. Maintain and extend internal APIs, SDKs, and clients that support our projects. Actively participate in architecting software and cloud solutions. Communicate clearly with adjacent teams and stakeholders and manage expectations. Why Join Us: Work on high-impact AI and ML projects with real enterprise data. Collaborative team environment. Exposure to cutting-edge tools and technologies. Opportunity to contribute to strategic initiatives with visibility across the organization. Use your skills to make an impact Required Qualifications: 3+ years of strong, hands-on experience with Python. Comfort thinking in terms of engineering systems, not coding scripts. Familiarity with Databricks (including Unity Catalog, MLflow, and notebooks). Strong experience with GitHub (commits, pull requests, integrations). Ability to lead technical walkthroughs and articulate design decisions. Experience deploying apps, servers, or ML models in a production setting. Preferred Qualifications: Experience creating CICD workflows in GitHub and/or ADO. Familiarit