AI Operations Engineer

About the Team

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.

About the Role

We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. 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 hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time.

Success

This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on:

Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility

A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams

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

Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements

You Will

Build AI-Powered Solutions

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

Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context

Support Model Evaluation

Help test and benchmark AI models against accuracy, latency, cost, and safety criteria

Support model risk assessments and due diligence alongside Security and GRC

Help implement and maintain the internal model routing solution

Support Cost Visibility

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)

Maintain Agent Infrastructure

Help provision, credential, and de-provision AI agent access

Support deployment, versioning, monitoring, and retirement of agents

Maintain and patch agent infrastructure and dependencies

Help 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 engineers

Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption

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

You Bring

You are not expected to have every skill below — tell us which are your strongest.

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, 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

Perks

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.

Healthcare - Employer contributions towards your healthcare.

Equity in the company - Every new team member who joins our company receives stock options.

Time off - Flexible time off in the US, generous entitlement in other countries.

A USD$500 Home office setup if you’re a remote employee.

Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here . Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

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.

Please see here for our Privacy Statement.