Senior AI Engineer: Enterprise AI, Data & Cloud

Insight Global; Indianapolis (IN); On-site; USD 140,000 - 180,000; Full time

Job summary

Insight Global seeks a Senior AI Software Engineer to design, build, and deploy AI-powered solutions for a top enterprise client in a regulated industry. You will work on Python-based applications that leverage cloud environments and enterprise data platforms, including Snowflake, to deliver production-ready AI capabilities.

The role emphasizes end-to-end ownership from development through production support, with a focus on scalable AI workflows, data pipelines, and integration with internal

Qualifications

• 5+ years of software/development engineering experience.
• Strong Python development with testing and best practices.
• Cloud experience (AWS preferred; Azure/GCP acceptable).
• Hands-on experience integrating LLMs and AI into workflows.
• Strong data management, pipelines, and enterprise data architecture.
• Experience with Snowflake, databases, data lakes, or modern data stacks.
• Experience building and maintaining production systems with monitoring and CI/CD.

Responsibilities

• Design, develop, and deploy AI-powered applications and assistants.
• Write production-quality Python code and own features end-to-end.
• Build and maintain cloud-based AI solutions in AWS.
• Create data pipelines for structured and unstructured enterprise data.
• Develop knowledge management and retrieval to improve AI accuracy.
• Integrate AI with enterprise platforms, APIs, and internal services.
• Evaluate AI model performance and implement improvements.
• Monitor production systems for quality, reliability, cost, and performance.

Skills

Python development

Cloud computing

LLMs integration

Data pipelines

Data architecture

Snowflake

CI/CD

Production systems

Monitoring

Job description

Insight Global seeks a Senior AI Software Engineer to design, build, and deploy AI-powered solutions for a top enterprise client in a regulated industry. You will work on Python-based applications that leverage cloud environments and enterprise data platforms, including Snowflake, to deliver production-ready AI capabilities.

The role emphasizes end-to-end ownership from development through production support, with a focus on scalable AI workflows, data pipelines, and integration with internal