Job Description Insight Global is seeking an AI Engineer to support one of our top financial clients. This individual will be part of an exciting Data and AI transformation effort across the enterprise, introducing new GenAI solutions to improve internal and client facing processes. We are seeking someone with strong fundamentals in engineering with most recent years focused within AI Engineering from end to end. This role is highly hands-on and full-stack in nature, spanning data ingestion, model orchestration, application integration, and production deployment. This person will work closely with data engineering, software engineering, and business stakeholders to deliver scalable, secure, and production-grade AI capabilities. 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/. Skills and Requirements •3+ years experience building Generative AI based solutions, having brought one or more solutions end-to-end into production, not just prototypes or experiments •Strong software engineering fundamentals, including experience with APIs, state machines, and cloud deployment patterns •Strong hands on experience with AWS services (certification preferred), with specific experience with Bedrock. AgentCore experience is highly preferred. •Strong hands on experience with Snowflake •Familiarity with large language models, agent-based architectures, and retrieval-augmented generation concepts •Strong experience with Python