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; Agents 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 usage
Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both 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 such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases
Help test and benchmark AI models against accuracy, latency, cost, and safety criteria
Implement tagging, monitoring, and alerting for cost anomalies
Support deployment, versioning, monitoring, and retirement of agents
Deliver Training and Enablement




Design and deliver company-wide AI training programs tailored to different audiences - non-technical business users through engineers
Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents
Establish a feedback loop with users to continuously improve training content, tooling, and documentation
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, including trade-offs between cost, latency, and quality
Comfort working with usage and billing data to build cost visibility, forecasting, or optimization
Ability to understand both business and engineering workflows and translate them into technical solutions
Experience working with or integrating business systems as well as engineering/developer tooling
Experience creating training materials, documentation, or workshops for mixed technical/non-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
Flexible work environment
- ClickHouse is a globally distributed company and remote-friendly. A USD$500 Home office setup
if you're a remote employee.
General Gatherings
- 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 expression, or any other characteristic protected by federal, state or local laws.

📌 Production Engineer (Granada)
🏢 ClickHouse
📍 Granada