[All remote jobs](https://jobicy.com/jobs.md)Open role[![Clickhouse logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/6394b9a0-221.png)](https://jobicy.com/company/clickhouse.md)Remote opportunity at[Clickhouse](https://jobicy.com/company/clickhouse.md) # AI Operations Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/clickhouse.md)Share26 Aug 2026Published28Listing views2Application actions25 Sep 2026Apply before Opportunity details ## About this role. AI SummaryClickHouse is hiring an AI Operations Engineer for a newly formed IT Operations AI Engineering function. The role builds, integrates, deploys, and maintains LLM-powered workflows and agents for business and engineering teams, while establishing secure lifecycle, identity, audit, and operational practices. The engineer will evaluate models, support routing and cost-visibility capabilities, and optimize AI spend through monitoring, caching, prompt efficiency, and model right-sizing. This hands-on role also requires training employees and creating reusable adoption playbooks for technical and non-technical audiences. Success depends on shipping reliable cross-functional solutions quickly while improving AI governance, safety, and organizational fluency. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a net-new, cross-functional AI Ops function requiring production engineering, integrations, model evaluation, cloud operations, security controls, FinOps, and enablement skills. The role must operate effectively amid evolving requirements while building durable governance and agent-management practices. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$210,000US market range$170k–$250k0$275k AI insightThe disclosed US starting base-salary ranges are $170,000–$220,000 USD for standard US markets and $200,000–$250,000 USD for US Premium Markets. Using the full disclosed offer span, the salary median is $210,000 USD annually. The stated range is aligned with the US market for a senior-level AI/ML operations and platform engineering role that combines production integrations, cloud operations, AI governance, and cost optimization. ## Core skills Skills and capabilities most closely associated with this opportunity. [LLM application development](https://jobicy.com/jobs?search_keywords=LLM%20application%20development.md)[AI agent operations](https://jobicy.com/jobs?search_keywords=AI%20agent%20operations.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[System integration architecture](https://jobicy.com/jobs?search_keywords=System%20integration%20architecture.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Model evaluation](https://jobicy.com/jobs?search_keywords=Model%20evaluation.md)[AI cost optimization](https://jobicy.com/jobs?search_keywords=AI%20cost%20optimization.md)[Identity and access management](https://jobicy.com/jobs?search_keywords=Identity%20and%20access%20management.md)[AI governance and compliance](https://jobicy.com/jobs?search_keywords=AI%20governance%20and%20compliance.md)[Technical training and documentation](https://jobicy.com/jobs?search_keywords=Technical%20training%20and%20documentation.md) Sample interview questionsDescribe an AI workflow or agent you deployed into a production business process. How did you measure its impact?I would describe the workflow’s users, systems, model choice, guardrails, and deployment architecture. I would quantify outcomes such as cycle-time reduction, accuracy, adoption, exception rate, cost per task, and user satisfaction, then explain how monitoring informed iterative improvements. How would you evaluate several LLM providers for an internal document-extraction and decision-support workflow? I would create a representative, privacy-safe test set and score each model on task accuracy, structured-output reliability, latency, unit cost, safety behavior, and operational constraints. I would document trade-offs, define acceptance thresholds, test failure modes, and recommend a routing or fallback strategy rather than selecting solely on benchmark performance. What controls would you implement before granting an AI agent access to HRIS, legal, or finance systems? I would use least-privilege service identities, scoped credentials, approval-based access, secret management, environment separation, and auditable action logs. I would also define allowed tools and data boundaries, require human review for high-impact actions, implement revocation and deprovisioning processes, and partner with Security and GRC on risk assessment. How would you build visibility into AI and LLM spend across a distributed organization? I would standardize cost tags by team, application, environment, provider, model, and use case, then ingest usage and billing data into a reporting layer. Dashboards would show spend trends, cost per workflow, anomalies, forecasted usage, and optimization opportunities such as caching, token reduction, batching, and lower-cost model routing. How would you train both non-technical employees and engineers on safe, effective AI use? I would tailor role-based sessions: practical approved-tool workflows and data-handling rules for business users, and deeper integration, evaluation, observability, and security guidance for engineers. I would reinforce training with concise playbooks, templates, office hours, hands-on examples, and feedback mechanisms tied to adoption and shadow-AI reduction. ### About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! 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 The typical starting salary for this role in the US is $170,000—$220,000 USD The typical starting salary for this role in US Premium Markets is $200,000—$250,000 USD ### Compensation For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area 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@clickhouse.com](mailto:paytransparency@clickhouse.com). ### Perks * Flexible work environment – ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 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 $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](https://clickhouse.com/company/careers). Check out our[blog posts](https://clickhouse.com/blog) or follow us on [LinkedIn](https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true) 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](https://clickhouse.com/legal/applicant-privacy-notice) for our Privacy Statement. 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