AI Engineer

strong software engineer with expertise in Python, cloud technologies, and production AI applications. You'll join a small, highly autonomous team building AI-powered solutions that solve real business problems using enterprise data.

The ideal candidate has hands-on experience developing and deploying AI applications, assistants, or workflow automation tools, along with a strong understanding of data platforms such as Snowflake and modern cloud environments. This is not a research-focused AI role; instead, we're looking for someone who can apply AI effectively, build scalable solutions, and own products from development through production support while helping shape the organization's AI strategy

• Design, develop, and deploy AI-powered applications and assistants
• Write production-quality Python code and own features from design through deployment
• Build and maintain cloud-based AI solutions within AWS and evolving AI ecosystems
• Create and manage data pipelines that leverage structured and unstructured enterprise data
• Develop knowledge management and retrieval solutions to improve AI accuracy and usefulness
• Integrate AI capabilities with enterprise platforms, APIs, and internal services
• Evaluate AI model performance and implement improvements based on measurable outcomes
Monitor system quality, reliability, cost, and performance in production environments

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 software/development engineering experience
• Strong Python development experience with clean coding, testing, and software engineering best practices
• Experience working with cloud environments (AWS preferred, Azure/GCP acceptable)
• Hands-on experience integrating LLMs, AI services, or AI-assisted applications into business workflows
• Strong understanding of data management, data pipelines, and enterprise data architecture
• Experience working with technologies such as Snowflake, databases, data lakes, or modern data stacks
Experience building and supporting production systems with monitoring, testing, CI/CD, and operational ownership

• AWS Bedrock experience
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with knowledge graphs, GraphRAG, or knowledge representation techniques
• Experience building AI assistants, copilots, or workflow automation solutions
• Familiarity with agentic AI frameworks and multi-agent systems
• AI observability, evaluation, and monitoring experience
• Experience integrating enterprise systems and APIs
• Experience in regulated industries such as financial services, healthcare, or insurance
Experience mentoring junior developers or contributing to engineering best practices

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.