{"id":2770873,"url":"https://alion.io/job/cirruslabs-platform-administration-lead-ai-infrastructure","title":"Platform Administration Lead - AI Infrastructure","company":{"id":3800645,"name":"CirrusLabs","domain":"cirruslabs.io","url":"https://alion.io/company/cirruslabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India","Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"AIOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-28T04:29:52Z","employer_posted_date":null,"last_verified_at":"2026-09-28T04:29:52Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"AI Platform Admin Lead\n\nRole overview : \n\nOwn 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.\n\nKey responsibilities : \n\n- Administer and manage enterprise AI platforms including OpenAI, Anthropic Claude, or Google Gemini.\n\n- Manage API access, keys, usage policies, and rate limits across teams and applications.\n\n- Establish centralized governance for AI usage including audit trails, compliance controls, and policy enforcement.\n\n- Monitor platform usage, performance, and costs; implement cost controls, budget tracking, and optimization strategies.\n\n- Build and maintain dashboards for AI consumption, latency, and model performance analytics.\n\n- Enable multi-model orchestration and routing across different LLM providers for resiliency and optimization.\n\n- Define and enforce security controls including data privacy, prompt controls, and access management.\n\n- Support platform onboarding for engineering and business teams, including SDK/API integrations and environment setup.\n\n- Collaborate with AI/ML, DevOps, and security teams to operationalize AI workloads.\n\n- Troubleshoot platform, API, and model-related issues; ensure high availability and reliability.\n\n- Enable governance for agentic AI workflows, including identity, permissions, and operational guardrails.\n\n- Drive platform standardization, best practices, and reusable frameworks across teams.\n\nRequired experience : \n\n- 7+ years in platform engineering, cloud operations, or AI platform management.\n\n- Hands-on experience with at least one : OpenAI (ChatGPT, Azure OpenAI), Anthropic Claude, or Google Gemini.\n\n- Experience managing API-based platforms, including authentication, quotas, and usage monitoring.\n\n- Strong understanding of LLM/GenAI architectures, token-based usage models, and AI application patterns.\n\n- Experience in platform governance, cost optimization, and operational monitoring.\n\n- Familiarity with cloud platforms (AWS, Azure, GCP) and AI services.\n\n- Experience working with monitoring/observability tools and dashboards.\n\n- Strong troubleshooting and operational support mindset.\n\nGood to have : \n\n- Experience with AI gateway/platforms or multi-provider orchestration (LLM routing, failover).\n\n- Exposure to MLOps, CI/CD pipelines, and model lifecycle management.\n\n- Knowledge of agentic AI systems, RAG architectures, and vector databases.\n\n- Familiarity with security, compliance, and responsible AI frameworks.\n\n- Scripting or automation experience (Python, APIs, Terraform).\n\nSkills\nCloud, AWS, Azure, Python, Terraform, AI Architecture, Cloud Architect - 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