AI Operations Engineer

ClickHouse
Anywhere
Full timeUSD 110,000 - 165,000 annuallyFunction: Data Science & Machine LearningSkills: []

Build and operate a new centralized AI Ops function, designing and deploying LLM-based solutions and AI agents used across teams like People, Finance, and Legal. You’ll integrate AI into internal systems (HRIS/ATS/ERP/ticketing/CI/CD), evaluate and route models by cost/latency/accuracy/safety, and deliver cost visibility via monitoring and dashboards. You’ll also establish agent identity, access, auditing, lifecycle practices, and run org-wide AI training and enablement.

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FursaFursa
ClickHouse
ClickHouse
3 days ago

AI Operations Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and operate a new centralized AI Ops function, designing and deploying LLM-based solutions and AI agents used across teams like People, Finance, and Legal. You’ll integrate AI into internal systems (HRIS/ATS/ERP/ticketing/CI/CD), evaluate and route models by cost/latency/accuracy/safety, and deliver cost visibility via monitoring and dashboards. You’ll also establish agent identity, access, auditing, lifecycle practices, and run org-wide AI training and enablement.
Location: Anywhere
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and maintain AI-driven solutions and AI workflows across business and engineering use cases.
  • •Integrate AI into existing internal systems and knowledge bases, using secure integration standards like MCP.
  • •Evaluate and benchmark AI models for accuracy, latency, cost, and safety, and support model risk assessments with Security and GRC.
  • •Build cost visibility dashboards and implement tagging, monitoring, and alerting to identify cost anomalies and optimization opportunities.
  • •Provision, manage, and audit AI agent access and lifecycle (credentialing, deployment/versioning, monitoring/retirement, and logging).

Pay and Benefits

Salary: USD 110,000 - 165,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityTime OffHome Office

Key Requirements

  • •Experience building with modern AI/ML tools and frameworks.
  • •Experience building/consuming APIs and developing data pipelines for system integrations.
  • •Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and operating services in production.
  • •Experience comparing and evaluating AI models across providers with trade-offs across cost, latency, and quality.
  • •Ability to understand business and engineering workflows and translate them into technical AI solutions.
Experience:AI/MLLLMsAPI integrationsCloudProduction services
Tech Stack:LLMsAI/MLAPIsData pipelinesAWSGCPAzureMCPCI/CDHRISATSERPTicketingCLMMatter ManagementLLM routingDashboardsMonitoringAlertingIdentity access

Company Brief

ClickHouse
Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.
Industry: Data Infrastructure
Headquarters: Menlo Park, United States
Founded: 2016
WebsiteLinkedIn