AI Operations Engineer

Location

NAMER and LatAm

Employment Type

Full time

Compensation

• Tier 1: $130K – $165K • Offers Equity
• Tier 2: $110K – $145K • Offers Equity

For roles based in the United States, the typical starting salary range for this position is listed on the job posting. In certain locations, such as the San Francisco Bay Area, Seattle, and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency [at] clickhouse [dot] com.

About the Position

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.

Responsibilities

• 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

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, 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

Nice to Have

• Experience with LLMs
• Familiarity with modern integration standards
• Experience with AI agent infrastructure
• Experience in creating AI training programs
• Knowledge of AI agent access, monitoring, versioning, retirement, patching, auditing, and logging

We Offer

• 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.

About the Company

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.

Compensation Range: $110K - $165K