AI Engineer (AWS/Azure)

We are seeking an AI Data Engineer with deep experience in AWS or Azure to build and operate the data and retrieval infrastructure behind enterprise AI applications. This role focuses on designing scalable pipelines for unstructured data ingestion, document processing, embeddings, and vector search, as well as developing retrieval‑augmented generation (RAG) architectures that integrate LLM capabilities into production systems. You will work closely with platform and application teams to deploy secure, reliable, and compliant AI services using cloud‑native, event‑driven, and containerized architectures.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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/.

-5+ years of engineering experience
-Hands‑on experience building unstructured data pipelines and ETL/ELT workflows in AWS or Azure
-Proven experience with vector stores and embedding pipelines, including chunking strategies and metadata design
-Strong understanding of RAG architectures, retrieval techniques, and LLM integration
-Practical experience using OCR/document intelligence tools (e.g., Azure Document Intelligence, AWS Textract)
-Solid Python engineering skills with experience delivering production‑grade systems (CI/CD, logging, error handling, security)

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.