IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently
- from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team
- a Technical Lead plus one or two AI Ops Engineers
- reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering
- building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a net-new function; Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibilityA working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teamsAgents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond)Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usageEstablished identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use casesIntegrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling)



and legal infrastructure like CLM or Matter ManagementBuild workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge basesUse modern integration standards (e.g., Help test and benchmark AI models against accuracy, latency, cost, and safety criteriaSupport model risk assessments and due diligence alongside Security and GRCHelp implement and maintain the internal model routing solution Help build dashboards and reporting for AI/LLM spend across teams and toolsImplement tagging, monitoring, and alerting for cost anomaliesIdentify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing) Help provision, credential, and de-provision AI agent accessSupport deployment, versioning, monitoring, and retirement of agentsMaintain and patch agent infrastructure and dependenciesHelp maintain audit trails and logging for agent actions Deliver Training and Enablement Design and deliver company-wide AI training programs tailored to different audiences
- non-technical business users through engineersCreate lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoptionRun onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agentsEstablish a feedback loop with users to continuously improve training content, tooling,



and documentation Experience building with modern AI/ML tools and frameworksExperience building and consuming APIs, developing data pipelines, and architecting system integrationsWorking knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in productionExperience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and qualityComfort working with usage and billing data to build cost visibility, forecasting, or optimizationAbility to understand both business and engineering workflows and translate them into technical solutionsExperience working with or integrating business systems as well as engineering/developer toolingExperience creating training materials, documentation, or workshops for mixed technical/non-technical audiencesUnderstanding of data privacy, security, and compliance considerationsExperience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors Flexible work environment
- ClickHouse is a globally distributed company and remote-friendly. A USD$500 Home office setup if you're a remote employee.
Integral Gatherings
- We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Check out our blog posts or follow us on LinkedIn to find out more about what's happening at ClickHouse. ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or

📌 Production Engineering Specialist (Córdoba)
🏢 ClickHouse
📍 Córdoba