Description 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.
The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment.
This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions.
The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations.
Responsibilities:
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.
- 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
- Bachelor's degree in Computer Science, Engineering, or related field
- 2-5 years of experience in software or cloud engineering
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