AI Platform Administrator
Location
United States
Posted
46 days ago
Salary
$86K - $119.6K / year
Job Description
Job Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field OR 4 years of experience with the deployment, configuration, and updating of AI software and services.
- Interest in AI, machine learning, and data science.
- Familiarity with cloud platforms (e.g., Azure AI Foundry, Copilot Studio, OpenAI Enterprise) and basic system administration.
- Strong problem-solving and communication skills.
- Ability to learn quickly and adapt to new technologies.
- Attention to detail and commitment to documentation and process improvement.
- Understanding of AI/ML concepts and tools is a plus.
Benefits
- Health insurance
- 401(k)
- Paid time off
Related Guides
Related Job Pages
More AI Engineer Jobs
Lead AI Engineer
iCert GlobalInstructor-led Live Online Training and E-Learning for Professional Certification Training to accelerate your career.
Lead Engineer building AI products for enterprises transforming contract management at Icertis
Sr. AI Engineer
Bush and Bush Law GroupCompassionate Care and Maximizing Compensation for Personal Injury Victims Across Texas. We Deliver Results!
As a Sr. AI Engineer, you will develop AI capabilities, optimize model behaviors, train agentic models, and ensure production-ready code while collaborating with engineering teams.
Senior Lead AI Engineer
Capital OneAt Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.
Senior Lead AI Engineer delivering AI-powered solutions for Capital One
This role involves developing and optimizing AI systems for workflow intelligence. Develop, optimize, and maintain agentic AI pipelines for automation and workflow intelligence. Experiment with prompt engineering, context tuning, and model orchestration to improve performance and...