Software Engineer – AI Agents; Azure AI Foundry

Position:
Software Engineer – AI Agents (Azure AI Foundry)

Location:

Hopkins, MN / Minneapolis, MN / Irving, TX / Brookfield, WI / Atlanta, GA / Chicago, IL / Cincinnati, OH (Onsite)

Hire Type:
Full Time

We are seeking a Software Engineer specializing in Agentic AI to design, build, and deploy intelligent AI agents leveraging Azure AI Foundry. The role focuses on developing scalable, production‑grade multi‑agent solutions that automate business processes and accelerate enterprise AI adoption.

This engineer will work across the full lifecycle—from solution design and model integration to deployment, orchestration, and optimization of AI agents in cloud-native environments.

• Design and develop AI agents and multi-agent systems using Amazon Bedrock or Azure AI Foundry / Agent frameworks
• Build agent-driven workflows to automate enterprise processes and orchestrate tasks across systems
• Integrate LLMs, APIs, enterprise data sources, and external services into agent architectures
• Develop RAG-based and conversational AI solutions using modern GenAI frameworks
• Implement scalable, cloud-native applications using microservices and serverless patterns
• Collaborate with architects and domain teams to translate business requirements into AI-driven solutions
• Ensure secure, compliant, and responsible AI implementations (governance, explainability, monitoring)
• Build reusable frameworks, SDK integrations, and automation pipelines for agent deployment
• Optimize agent performance, latency, and cost across cloud environments
• Contribute to CI/CD pipelines, testing, and production deployment of AI solutions

5+ years in software engineering with strong experience in cloud-native development

Hands-on experience with:

Strong programming expertise in:

Python (preferred) or Java

Experience building:

Familiarity with:

Multi-agent orchestration and workflow design

Experience with cloud services:

Knowledge of CI/CD, Dev Ops, and containerization (Docker/Kubernetes)

Experience integrating enterprise systems (APIs, databases, SaaS platforms)

• Experience building multi-agent platforms or autonomous workflows
• Exposure to AI governance, safety, and responsible AI practices
• Familiarity with agent-to-agent communication and orchestration protocols
• Experience in building GenAI-enabled user interfaces (React or similar)
• Certifications in Azure AI / AWS AI / Cloud Architect roles
• Strong problem-solving and system design skills
• Ability to translate business use cases into AI-driven architectures
• Collaboration across cross-functional teams (engineering, data, business)
• Focus on performance, scalability, and production readiness