Key skills
AzureCloudDockerKubernetesPythonTerraformC#CAIMLAKSCI/CDLeadershipMentoringCommunicationCollaboration
About this role
Role Overview
- 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
- 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.
Tech Stack
- Azure
- Cloud
- Docker
- Kubernetes
- Python
- Terraform
Benefits
- 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