Senior Agentic AI Engineer: Secure, Scalable AI Solutions

Cloudious LLC; Bloomington (IL); On-site; USD 130,000 - 170,000; Full time

Job summary

Cloudious LLC is seeking a Senior Agentic AI Engineer to lead hands-on Agentic AI development across the software lifecycle. You will leverage Microsoft Foundry, Python and SAFe practices to deliver secure, scalable AI solutions in enterprise environments.

Responsibilities include building AI capabilities, integrating with Spring Java, and managing deployments on Azure Container Apps while enforcing DevSecOps and identity security via Okta.

Qualifications

• Bachelor's degree in a related field with relevant experience.
• 8 years of experience including senior level Agentic AI development.
• Hands-on design and implementation of AI solutions in enterprise environments.
• Experience working in SAFe Agile delivery models and DevSecOps practices.

Responsibilities

• Design and develop Agentic AI solutions across SDLC phases.
• Build hands-on AI capabilities and workflows using Microsoft Foundry and Python.
• Develop and integrate enterprise components using Spring Java.
• Implement secure identity integration with Okta.
• Deploy and manage AI-enabled components on Azure Container Apps.
• Apply DevSecOps throughout solution design, development, integration and deployment.
• Manage source control and delivery workflows with GitLab.
• Track delivery activities in Rally and participate in SAFe ceremonies.

Skills

Agentic AI development

Python for AI workflows

Okta authentication integration

Azure Container Apps deployment

Spring Java enterprise integration

DevSecOps practices

Education

Bachelor's degree in Computer Science or related field

Tools

GitLab

Rally

Microsoft Foundry

Azure Container Apps

Job description

Cloudious LLC is seeking a Senior Agentic AI Engineer to lead hands-on Agentic AI development across the software lifecycle. You will leverage Microsoft Foundry, Python and SAFe practices to deliver secure, scalable AI solutions in enterprise environments.

Responsibilities include building AI capabilities, integrating with Spring Java, and managing deployments on Azure Container Apps while enforcing DevSecOps and identity security via Okta.