Agentic AI Engineer

Cloudious • Bloomington, MN

1d • Onsite

About The Position

We are seeking a Senior Agentic AI Engineer to develop hands-on Agentic AI solutions across different phases of the software development lifecycle. The role uses Microsoft Foundry, Python, Okta, Azure Container Apps, and Spring Java in a DevSecOps and SAFe Agile environment. The engineer will build AI capabilities and workflows, integrate enterprise application components, implement secure identity and access integration, and deploy AI-enabled application components. The role is onsite and involves collaboration across business and technology teams.

Requirements

• Bachelor’s degree with 8 years of relevant experience, including senior-level Agentic AI development experience.
• Hands-on Agentic AI solution development using Microsoft Foundry.
• Strong Python development skills for AI workflows, orchestration, and integration.
• Experience with secure authentication and identity integration using Okta.
• Experience deploying applications and services using Azure Container Apps.
• Working knowledge of Spring Java for enterprise application integration.
• Strong analytical and structured problem-solving skills.
• Effective communication and collaboration across business and technology teams.
• Ability to work independently in an onsite Agile delivery environment.

Nice To Haves

• Experience integrating Agentic AI capabilities with enterprise applications and platforms.
• Understanding of secure containerized AI application deployment patterns.
• Ability to contribute across multiple phases of the software development lifecycle.
• Knowledge of DevSecOps practices across the software development lifecycle.
• Experience with GitLab for source control and delivery workflows.
• Experience with Rally for Agile planning and delivery tracking.
• Experience working in a SAFe Agile delivery model.

Responsibilities

• Design and develop Agentic AI solutions across different phases of the software development lifecycle.
• Build AI capabilities and workflows using Microsoft Foundry and Python.
• Develop and integrate enterprise application components using Spring Java.
• Implement secure identity and access integration using Okta.
• Deploy and manage AI-enabled application components using Azure Container Apps.
• Apply DevSecOps practices throughout solution design, development, integration, and deployment.
• Manage source code collaboration and delivery workflows using GitLab.
• Track delivery activities in Rally and participate in SAFe Agile ceremonies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior