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AI Operations Engineer

ClickHouse· Business Technology
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Hybrid (Global)$170k - $250kunknownPosted 2mo ago

About the role

AI Ops Engineer role to build and run a new AI Ops function at ClickHouse, working under a Technical Lead to design, build, and maintain AI-driven solutions across the business and engineering, with hands-on delivery and cross-functional impact.

Responsibilities

  • Develop and deploy AI-powered solutions using LLMs, automation frameworks, and internal tooling for business and engineering use cases
  • Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management
  • Build workflows (document generation, data extraction, knowledge retrieval, decision support) across systems and knowledge bases
  • Use modern integration standards (e.g., MCP) to give AI models and agents secure access to internal knowledge and context
  • Help test and benchmark AI models against accuracy, latency, cost, and safety criteria
  • Support model risk assessments and due diligence with Security and GRC
  • Help implement and maintain internal model routing solution
  • Help build dashboards and reporting for AI/LLM spend across teams and tools
  • Implement tagging, monitoring, and alerting for cost anomalies
  • Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing)
  • Provision, credential, and de-provision AI agent access
  • Support deployment, versioning, monitoring, and retirement of agents
  • Maintain and patch agent infrastructure and dependencies
  • Maintain audit trails and logging for agent actions
  • Design and deliver company-wide AI training programs for diverse audiences
  • Create playbooks, guides, templates, and reusable components for safe AI adoption
  • Run onboarding sessions, office hours, and workshops to drive tool adoption
  • Establish feedback loop to continuously improve training content, tooling, and documentation

Qualifications

  • 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 production operations
  • Experience evaluating AI models across providers considering cost, latency, and quality
  • Comfort with usage and billing data to build cost visibility, forecasting, or optimization
  • Ability to translate business and engineering workflows into technical solutions
  • Experience integrating business systems with engineering/developer tooling
  • Experience creating training materials or workshops for mixed technical audiences
  • Understanding of data privacy, security, and compliance considerations
  • Experience implementing safeguards in AI systems including identity and access controls for automated/non-human actors

Skills

Required:AI/ML toolchainsAPIs and data pipelinesCloud infrastructureModel evaluationCost visibility / optimizationCross-functional collaborationTraining and enablementSecurity and compliance

Benefits

  • Flexible work environment - remote-friendly in a globally distributed company
  • Healthcare - employer contributions towards healthcare
  • Equity in the company - stock options for new team members
  • Time off - flexible time off in the US, generous in other countries
  • $500 Home office setup for remote employees
  • Global Gatherings - opportunities for in-person company-wide offsites
Last updated Aug 19, 2026. Interested? Apply on the company site.
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About ClickHouse

Fast Open-Source OLAP DBMS - ClickHouse

ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries

OLAPanalyticsbrex-fastest-growing-2025databasedatasystemsenterprise-infrastructurewing-list-2026wing-list-2026-giga-stage
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