AI Engineer

USG

AI Engineer responsible for designing and implementing AI solutions using Azure for USG Corporation. Collaborating across teams to optimize business processes and drive innovation through technology.

Posted 5/2/2026full-time🇺🇸 United StatesJuniorMid-Level💰 $100,920 - $134,520 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudDockerKubernetesPythonTerraform

About the role

Key responsibilities & impact

Architect and deploy AI/ML models and solutions on Azure and other cloud platforms
Promote and lead AI literacy efforts through training and documentation for staff
Develop and deploy containerized AI-enabled applications and services using technologies such as Docker and Kubernetes (AKS is preferred but not required)
Evaluate, select, and integrate cloud-based AI technologies, ensuring they align with application architecture and enterprise integration standards
Design, build, and support integrations between AI services and enterprise applications using APIs (REST/Graph), messaging/eventing, and secure connectivity patterns
Experience enabling Microsoft Copilot capabilities (e.g., Microsoft 365 Copilot) and building solutions with Copilot Studio (agents, integrations/connectors, and governance)
Implement application operational best practices (logging, monitoring, alerting, scalability, and reliability) for integrated AI services in production
Collaborate with other IT specialists and business units to identify opportunities for AI-driven automation and improvement
Implement CI/CD pipelines for AI applications and services
Ensure industry standards are followed for data privacy and IT security
Monitor, evaluate, and optimize the performance and reliability of AI solutions
Provide technical leadership and mentorship around AI adoption
Review emerging trends in enterprise AI and provide short- and long-term technology roadmaps.

Requirements

What you’ll need

Deep proficiency in Azure AI services and infrastructure
Strong experience with containerization (Docker/Kubernetes) for scalable application and AI deployments (AKS preferred, not required)
Experience designing and implementing integrations between services and enterprise applications (API design, authentication/authorization, and data exchange patterns)
Familiarity with Microsoft 365 Copilot and Copilot Studio for designing and deploying copilots/agents aligned with security, compliance, and enterprise integration standards
Advanced scripting and programming skills for AI development
Excellent collaboration, interpersonal, and problem-solving skills
Ability and motivation to quickly pick up new technologies and adapt in a rapidly changing environment
Strong understanding of IT and data security requirements
2-5 years of experience building and deploying AI solutions and/or integrated applications in hybrid cloud environments
Practical experience with infrastructure as code for cloud and hybrid environments (for example, using Terraform, ARM templates, or similar)
Hands-on experience integrating cloud services with enterprise applications (API management, event-driven integration, and secure service-to-service communication)
Exposure to Kubernetes on Azure (AKS) is a plus
Experience with Microsoft 365 Copilot and/or Copilot Studio is a plus
Advanced programming and scripting skills (Python is highly preferred; experience with C# is a plus)
Familiarity with Open Web UI and MCP Tooling is a plus
Experience promoting AI literacy—such as leading internal workshops, developing documentation, or mentoring colleagues on AI concepts and practices.

Benefits

Comp & perks

Two medical insurance options
Vision and dental coverage
401(k) Investment Plan with company match
Pension plan
Life insurance
Accident insurance
Legal insurance
Pet insurance
Paid time off
Paid holidays
Quarterly (hourly) / Annual (salary) bonus potential based on performance metrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML modelsAzure AI servicesDockerKubernetesCI/CD pipelinesAPI designscriptingprogramming (Python, C#)infrastructure as codedata privacy

Soft Skills

collaborationinterpersonal skillsproblem-solvingleadershipmentorshipadaptabilitycommunicationtrainingdocumentationautomation