AI Platform Admin Lead

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)