AI Platform Admin Lead- Gemini

Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
7-9 years
Hyderabad / Secunderabad, Telangana, Telangana
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 3 months ago
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Job Description

We are CirrusLabs. Our vision is to become the worlds 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 arent 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 to join our team. If youre 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- Gemi

ni

Shift: 2-11 PM

ISTExp: 7+ ye

ars

Role over

view

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 t

eams.

Key responsibi

  • lities
    Administer and manage enterprise AI platforms including Google
  • GeminiManage API access, keys, usage policies, and rate limits across teams and appli
  • cationsEstablish centralized governance for AI usage including audit trails, compliance controls, and policy enfo
  • rcementMonitor platform usage, performance, and costs; implement cost controls, budget tracking, and optimization str
  • ategiesBuild and maintain dashboards for AI consumption, latency, and model performance an
  • alyticsEnable multi-model orchestration and routing across different LLM providers for resiliency and optim
  • izationDefine and enforce security controls including data privacy, prompt controls, and access man
  • agementSupport platform onboarding for engineering and business teams, including SDK/API integrations and environmen
  • t setupCollaborate with AI/ML, DevOps, and security teams to operationalize AI wo
  • rkloadsTroubleshoot platform, API, and model-related issues; ensure high availability and reli
  • abilityEnable governance for agentic AI workflows, including identity, permissions, and operational gua
  • rdrailsDrive platform standardization, best practices, and reusable frameworks acros

s teams

Required ex

  • perience
    7+ years in platform engineering, cloud operations, or AI platform m
  • anagementHands-on experience with at least one: Goog
  • le GeminiExperience managing API-based platforms, including authentication, quotas, and usage m
  • onitoringStrong understanding of LLM/GenAI architectures, token-based usage models, and AI application
  • patternsExperience in platform governance, cost optimization, and operational m
  • onitoringFamiliarity with cloud platforms (AWS, Azure, GCP) and AI
  • servicesExperience working with monitoring/observability tools and d
  • ashboardsStrong troubleshooting and operational suppor

t mindset

Go

  • od to have
    Experience with AI gateway/platforms or multi-provider orchestration (LLM routing
  • , failover)Exposure to MLOps, CI/CD pipelines, and model lifecycle
  • managementKnowledge of agentic AI systems, RAG architectures, and vecto
  • r databasesFamiliarity with security, compliance, and responsible AI
  • frameworksScripting or automation experience (Python, APIs,
Terraform)

Skills

PythonData PrivacyAi/mlAiMl

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