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Posted 06 June, 2026

AI Platform Admin Lead- Claude

Cirrus Labs
India Full Time
Reference: 365_621144_26-00226

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented < AI Platform Admin Lead- Claude >to join our team. If you're excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career.

AI Platform Admin Lead- Claude
Exp: 7+ years
Shift Time: 2 PM - 11 PM IST

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

  • 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- Anthropic Claude

  • 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, GCP) 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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