AI Operations Engineer

ClickHouse
EMEA
Workplace: OnsiteFull timeUSD 170,000 - 220,000 annuallyFunction: Data Science & Machine LearningSkills: ["Hands-on execution","Systems integration","Cross-functional communication","Training development","Attention to security and compliance"]

Build and operate a new centralized AI Ops function within IT Operations, designing and deploying LLM-driven solutions and agents used across business teams. You’ll integrate AI into core systems (HRIS, ATS, ERP, procurement orchestration, ticketing, and CI/CD), support model evaluation and cost visibility, and maintain agent lifecycle practices including identity, access, auditing, and monitoring to meet Security and GRC needs.

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FursaFursa
ClickHouse
ClickHouse
3 days ago

AI Operations Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and operate a new centralized AI Ops function within IT Operations, designing and deploying LLM-driven solutions and agents used across business teams. You’ll integrate AI into core systems (HRIS, ATS, ERP, procurement orchestration, ticketing, and CI/CD), support model evaluation and cost visibility, and maintain agent lifecycle practices including identity, access, auditing, and monitoring to meet Security and GRC needs.
Location: EMEA
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and maintain AI-driven solutions and agents across business and engineering workflows.
  • •Integrate AI into existing internal systems (e.g., HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD) and legal infrastructure like CLM or Matter Management.
  • •Support model evaluation and routing, including benchmarking models for accuracy, latency, cost, and safety and assisting with model risk assessments.
  • •Build cost visibility through dashboards and reporting, including tagging, monitoring, and alerting for AI/LLM spend anomalies and cost-optimization opportunities.
  • •Provide agent infrastructure lifecycle support: provisioning, credentialing, deployment/versioning, monitoring, retirement, and maintaining audit trails/logging for agent actions.

Pay and Benefits

Salary: USD 170,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityRemote WorkHome OfficeFlexible Time

Key Requirements

  • •Experience building with modern AI/ML tools and frameworks.
  • •Experience building and consuming APIs, developing data pipelines, and architecting system integrations.
  • •Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production.
  • •Experience comparing and evaluating AI models across providers (cost, latency, and quality).
  • •Understanding of data privacy, security, and compliance considerations, including safeguards like identity and access controls for automated actors.
Experience:AI/MLCloud infrastructureData pipelinesLLMProduction systems
Skills:Hands-on executionSystems integrationCross-functional communicationTraining developmentAttention to security and compliance
Tech Stack:LLMsLLM spendLLM routingMCPAWSGCPAzureAPIsData pipelinesCI/CDDashboardsMonitoringAlertingLoggingIdentity and access controlsAudit trailsCLMMatter Management

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