Position 1: AI Platform Admin Lead- Claude
Position 2: AI Platform Admin Lead- OpenAI
Position 3: AI Platform Admin Lead- Gemini
Remote
Long Term Contract
Role overview
Own the administration and operations of enterprise AI platforms, ensuring secure, scalable, and cost-efficient usage of LLM services. Act as the central point for platform governance, usage monitoring, and enablement of AI teams.
Key responsibilities
Administer and manage enterprise AI platforms including OpenAI, Anthropic Claude, or Google Gemini
Manage API access, keys, usage policies, and rate limits across teams and applications
Establish centralized governance for AI usage including audit trails, compliance controls, and policy enforcement
Monitor platform usage, performance, and costs; implement cost controls, budget tracking, and optimization strategies
Build and maintain dashboards for AI consumption, latency, and model performance analytics
Enable multi-model orchestration and routing across different LLM providers for resiliency and optimization
Define and enforce security controls including data privacy, prompt controls, and access management
Support platform onboarding for engineering and business teams, including SDK/API integrations and environment setup
Collaborate with AI/ML, DevOps, and security teams to operationalize AI workloads
Troubleshoot platform, API, and model-related issues; ensure high availability and reliability
Enable governance for agentic AI workflows, including identity, permissions, and operational guardrails
Drive platform standardization, best practices, and reusable frameworks across teams
Required experience
7+ years in platform engineering, cloud operations, or AI platform management
Hands-on experience with at least one: OpenAI (ChatGPT, Azure OpenAI), Anthropic Claude, or Google Gemini
Experience managing API-based platforms, including authentication, quotas, and usage monitoring
Strong understanding of LLM/GenAI architectures, token-based usage models, and AI application patterns
Experience in platform governance, cost optimization, and operational monitoring
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and AI services
Experience working with monitoring/observability tools and dashboards
Strong troubleshooting and operational support mindset
Good to have
Experience with AI gateway/platforms or multi-provider orchestration (LLM routing, failover)
Exposure to MLOps, CI/CD pipelines, and model lifecycle management
Knowledge of agentic AI systems, RAG architectures, and vector databases
Familiarity with security, compliance, and responsible AI frameworks
Scripting or automation experience (Python, APIs, Terraform)
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