Sr. Technical Specialist - AI Engineer

Description

• Review emerging trends in enterprise AI and provide short- and long-term technology roadmaps.
• Develop containerized AI applications using technologies such as Docker and Kubernetes.
• Monitor, evaluate, and optimize the performance and reliability of AI solutions.
• Implement CI/CD pipelines for AI solutions.
• Evaluate, select, and integrate the latest cloud-based AI technologies rapidly.
• Provide technical leadership and mentorship around AI adoption.
• Promote and lead AI literacy efforts through training and documentation for staff.
• Architect and deploy AI/ML models and solutions on Azure and other cloud platforms.
• Ensure industry standards are followed for data privacy and IT security.
• Collaborate with other IT specialists and business units to identify opportunities for AI-driven automation and improvement.

Requirements

• Experience promoting AI literacy—such as leading internal workshops, developing documentation, or mentoring colleagues on AI concepts and practices.
• Advanced scripting and programming skills for AI development.
• 2-5 years of experience in building and deploying AI solutions in hybrid cloud environments.
• Practical experience with infrastructure as code for cloud and hybrid environments (for example, using Terraform, ARM templates, or similar).
• Strong experience with containerization (Docker/Kubernetes) for scalable AI deployments.
• Familiarity with Open Web UI and MCP Tooling is a plus.
• Advanced programming and scripting skills (Python is highly preferred; experience with C# is a plus).
• Deep proficiency in Azure AI services and infrastructure.
• Strong understanding of IT and data security requirements.
• Ability and motivation to quickly pick up new technologies and adapt in a rapidly changing environment.
• Excellent collaboration, interpersonal, and problem-solving skills.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance