Job Description
Insight Global is seeking an AI Software Engineer for one of our largest clients based in the Cincinnati area. The ideal candidate is local to our Farmington Hills, Michigan (outside of Detroit) location to be hybrid onsite 3x/week. Remote candidates will be considered for highly qualified individuals.
This role is will be critical in helping to build infrastructure supporting AI agents and contribute to future agent development work across the enterprise.
Key Responsibilities:
Build and support AWS infrastructure for the AI platform.
Provision and manage cloud resources using Terraform.
Support processes for agent onboarding, authorization, and access management.
Build integrations between applications and cloud infrastructure (e.g., S3, permissions, access controls).
Assist with implementation of agentic AI capabilities and future AI agent projects.
Collaborate with the team responsible for AI platform expansion from MVP to broader enterprise adoption
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 [email protected] 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
5-8+ years of experience within IT
Software Engineering with TypeScript/ JavaScript AND/OR Python
Infrastructure engineering experience, including:
Cloud resource provisioning
Application-to-infrastructure integrations
Storage/services such as S3
Access management and permissions
Understanding how applications consume infrastructure components
Supporting platform-level deployments in AWS
AWS
Terraform
Experience using AI tools (GPT, Claude, etc.) as a practitioner/user - Banking or finance industry background
AWS Bedrock.
LLM Guardrails / AWS Guardrails.
AI Gateway experience.
MCP (Model Context Protocol) server development.
Experience building agents or agent workflows.
