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Cloud GenAI Governance Engineer

Charlotte, NC, US • Posted 1 day ago • Updated 1 day ago

Contract Corp To Corp

Contract W2

Contract Independent

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

(GenAI OR LLM) AND ("governance") AND Armor AND Arize AND Kubernetes AND Terraform AND (Azure OR GCP) AND (API) AND (gateway OR runtime)

Summary

Job Title: Senior Cloud GenAI Governance Engineer

Location: Charlotte, NC (Hybrid – 3 Days Onsite Required)

Job Description:

We are seeking a Senior Cloud GenAI Governance Engineer to support enterprise-scale Generative AI platform engineering and AI runtime governance initiatives. The ideal candidate will have deep expertise in GenAI/LLM infrastructure, AI security guardrails, observability, cloud-native infrastructure, and distributed inference operations.

Key Responsibilities:
• Design and implement enterprise AI governance and runtime security frameworks for Generative AI and LLM platforms
• Develop and manage AI guardrails, compliance controls, prompt filtering, and runtime security solutions
• Implement and support Model Armor / AI Armor solutions for secure inference and request/response inspection
• Utilize Arize AI for AI observability, telemetry, inference tracing, and model behavior analysis
• Support API lifecycle tracing, API gateway operations, and distributed inference debugging
• Troubleshoot runtime bottlenecks, rate limiting, token throughput issues, and gateway failures
• Manage Kubernetes-based AI infrastructure and Terraform/IaC deployments across cloud environments
• Maintain and optimize Azure and Google Cloud Platform cloud landing zones supporting enterprise AI workloads
• Collaborate with platform engineering, security, and infrastructure teams to support responsible AI initiatives

Required Skills:
• Strong experience with Generative AI, GenAI platforms, LLM infrastructure, and AI runtime governance
• Expertise in AI security, AI guardrails, compliance, and observability frameworks
• Hands-on experience with Model Armor / ArmorCode or related AI security tooling
• Experience with Arize AI or enterprise AI observability platforms
• Strong Kubernetes (K8s) administration and troubleshooting skills
• Experience with Terraform and Infrastructure as Code (IaC)
• Strong cloud infrastructure experience with Azure and/or Google Cloud Platform
• Experience with APIs, API Gateways, inference runtime management, and distributed AI serving architectures
• Strong understanding of enterprise AI platform operations and cloud networking

Preferred Qualifications:
• Experience with distributed inference systems and LLM serving platforms
• Exposure to responsible AI and enterprise AI governance frameworks
• Experience supporting large-scale AI infrastructure environments
• Strong troubleshooting and incident management skills in cloud-native ecosystems

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10204540
Position Id: 85250-2308-
Posted 1 day ago

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