AI Engineer

Job Description A leading insurance company in the Pacific Northwest is seeking an AI Data Engineer to help design, implement, and scale next-generation AI solutions. This role will focus on building and enabling agentic AI systems while leveraging modern cloud-based data platforms within Azure. The ideal candidate is both technically strong and forward-thinking, someone who can lead direction, influence AI tooling strategy, and translate emerging AI capabilities into real business value.

This team directly supports how data is analyzed and utilized for financial cost predictions, which then aids in premium pricing and policy design. 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 [email protected]. 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/.

Skills and Requirements Design, build, and deploy agentic AI solutions that automate, orchestrate, and enhance data-driven workflows. Develop and maintain scalable data pipelines and AI-enabled systems using Azure Databricks. Write clean, efficient, and production-ready code using Python and SQL.

Collaborate with data scientists, engineers, and business stakeholders to operationalize AI use cases. Lead technical direction and provide thought leadership around AI tools, frameworks, and best practices. Evaluation and recommendation for emerging tools such as Claude Code and Superblocks.

Ensure solutions are reliable, secure, and aligned with enterprise data governance standards. Support model deployment, monitoring, and continuous improvement in production environments. Preferred Qualifications Experience working within highly regulated industries such as Insurance, Finance, and/or Healthcare.

Familiarity with actuarial data, reporting, or modeling concepts. #J-18808-Ljbffr