Cloud Engineer AI Gateway Global Industrial

SUMMARY:

Under limited supervision the AI Gateway Cloud Engineer III designs deploys and operates secure scalable AI gateway platforms across cloud and Kubernetes environments. This role enables standardized access to approved AI models agents and services by automating platform provisioning configuration policy deployment and release processes. The engineer implements routing resiliency traffic token caching identity encryption data protection and responsible AI controls to improve reliability performance security and cost efficiency. This role establishes monitoring and operational practices leads troubleshooting and root cause analysis and manages platform capacity availability upgrades backups and disaster recovery. The AI Gateway Cloud Engineer III partners with security cloud data architecture and application teams to define onboarding standards reference architectures service-level objectives and runbooks; evaluates emerging capabilities; manages priorities and continuous improvement; and mentors engineers in consistent platform engineering and governance practices.

JOB DUTIES

• Designs deploys and operates secure scalable AI gateway platforms across cloud and Kubernetes environments.
• Integrates approved AI models agents and services through standardized gateway interfaces and reusable patterns.
• Automates platform provisioning configuration policy deployment and release processes.
• Implements model routing failover rate limits token controls and caching to improve reliability performance and cost efficiency.
• Secures AI traffic using identity access encryption credential protection private connectivity and policy-based controls.
• Applies prompt and response guardrails content-safety policies data protection and responsible AI controls.
• Establishes monitoring and alerting for requests tokens latency errors model usage costs and policy enforcement.
• Troubleshoots platform network provider and policy issues and leads root cause analysis for production incidents.
• Manages platform capacity availability upgrades resiliency testing backups and disaster recovery.
• Defines onboarding standards reference architectures service-level objectives and operational runbooks.
• Partners with security cloud data architecture and application teams to enable compliant AI adoption.
• Evaluates emerging AI gateway capabilities and recommends adoption based on security scalability supportability and cost.
• Manages project priorities deliverables operational commitments and continuous improvement initiatives.
• Mentors engineers and promotes consistent platform engineering security and governance practices.
• Performs other duties as assigned.

EDUCATION & EXPERIENCE

• Typically requires a bachelors degree and five (5) to eight (8) years of related experience or an equivalent combination.

KNOWLEDGE SKILLS ABILITIES

• Advanced knowledge of AI gateway architecture and cloud services across Google Cloud Platform Microsoft Azure or Amazon Web Services.
• Hands-on experience deploying and operating highly available platform services in cloud and Kubernetes environments.
• Experience integrating generative AI models agents and services through standardized gateway interfaces and reusable patterns.
• Proficiency with infrastructure as code declarative configuration automated testing and deployment pipelines.
• Knowledge of model routing load balancing failover rate limiting token controls caching and usage-based cost optimization.
• Experience securing AI services through authentication authorization encryption secrets management private connectivity and policy-based controls.
• Knowledge of prompt and response guardrails content safety data protection auditability and responsible AI governance.
• Proficiency with monitoring logging tracing alerting usage metering and cost analysis for distributed AI workloads.
• Strong troubleshooting and root cause analysis skills across platform network provider policy and application integration layers.
• Knowledge of capacity planning service-level objectives resiliency testing upgrades backup validation and disaster recovery.
• Ability to define reference architectures onboarding standards operational runbooks and scalable platform engineering practices.
• Ability to communicate and collaborate effectively with security cloud data architecture application and business teams.
• Experience with Python and one or more scripting languages such as Linux shell or PowerShell for platform automation and integration.
• Ability to work independently manage competing priorities evaluate emerging capabilities and mentor engineers.

PHYSICAL DEMANDS:

LICENSES & CERTIFICATIONS:

SUPERVISORY RESPONSIBILITY:

BUDGET RESPONSIBILITY: No

COMPANY INFORMATION: Motion offers an excellent benefits package which includes options for healthcare coverage 401(k) tuition reimbursement vacation sick and holiday pay.

DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties responsibilities and skills required. Management retains the right to add or modify duties at any time.

Not the right fit Let us know youre interested in a future opportunity by joining our Talent Community on or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex race creed color religion marital status national origin citizenship status age pregnancy sexual orientation gender identity or expression genetic information disability military status status as a veteran or any other protected characteristic. GPCs policy is to recruit hire train promote assign transfer and terminate employees based on their own ability achievement experience and conduct and other legitimate business reasons.

Required Experience:

IC