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We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale.
Job Responsibility
Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments
Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently
Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale
Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort
Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs
Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability
Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability
Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls
Requirements
Experience building and supporting AI or machine learning platforms in a cloud-based enterprise environment
Hands-on knowledge of machine learning concepts and AI solution delivery, including model integration and operational support
Proficiency with TensorFlow and related tools used for developing or deploying AI applications
Experience working with computer vision or detection-based solutions in production or large-scale environments
Strong understanding of APIs, infrastructure automation, and platform engineering best practices
Ability to monitor, troubleshoot, and optimize distributed systems for reliability, security, and performance
Experience collaborating with cross-functional technical teams to deliver reusable and scalable platform capabilities
Bachelor's degree in Computer Science, Engineering, or related field
2–5 years of experience in software or cloud engineering
All applicants applying for U.S. job openings must be legally authorized to work in the United States
Nice to have
Exposure to AI/ML or generative AI technologies and concepts
Familiarity with CI/CD pipelines and Infrastructure-as-Code tools
Basic understanding of monitoring, logging, and system observability
Hands-on experience with AWS services and cloud-native application development
Programming experience in Python, Java, or similar languages
Familiarity with APIs, microservices, and DevOps practices