Job Description
Insight Global is assisting a client in finding an AI Engineer for a contract to hire opportunity in Kennesaw, GA. This role will spend their time advancing AI capabilities across their organization. They will be centered on designing and building cutting-edge AI solutions, with a strong emphasis on NLP, Generative AI, and document intelligence. The ideal candidate will be responsible for developing end-to-end pipelines—from prototyping models to deploying scalable, production-ready solutions—while leveraging modern techniques such as Retrieval-Augmented Generation. This individual will collaborate closely with cross-functional teams to solve complex business problems, particularly within document-heavy environments like claims and underwriting and play a key role in shaping the organization’s AI strategy and technical foundation.
• Partner with business and technology teams to identify AI-driven solutions
• Design, develop, test, and deploy Generative AI and NLP applications
• Build document intelligence solutions (summarization, extraction, classification)
• Develop RAG pipelines to enable AI-based question answering from documents
• Create scalable APIs and reusable AI services
• Collaborate with engineering teams to integrate AI into enterprise systems
• Build and maintain data pipelines for AI workloads
• Tune models for performance, scalability, and production readiness
• Implement monitoring, governance, and quality controls
• Prototype new AI use cases and evaluate business impact
• Document architecture, designs, and best practices
• Stay current on emerging AI/ML technologies and frameworks
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
• 1+ year experience working on product-based AI solutions (building and deploying models)
• Strong experience with NLP model development
• Proficiency in Python development
• Experience building and interacting with APIs
• Experience with LLMs, Generative AI, and model prototyping
• Understanding of RAG (Retrieval-Augmented Generation) architectures
• Ability to build, test, and deploy AI solutions into production
• Experience working with scalable AI systems and performance tuning
• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related field
Nice to Have Skills & Experience
• Experience with R programming
• Exposure to Azure AI / Azure Foundry
• Background in Machine Learning engineering concepts
• Experience with Vision APIs / document processing solutions
• Knowledge of claims and underwriting systems
• Experience building enterprise search, knowledge retrieval, or Q&A systems
• Familiarity with data pipelines supporting AI/ML workflows
• Experience working in heavily regulated environments (insurance/finance)
• Ability to prototype rapidly and evaluate emerging AI tools
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.