AI Operations Engineer

ClickHouse

. Develop and deploy AI-driven solutions using LLMs, automation frameworks, and internal tooling .

Posted 10/30/2026full-timeRemote • United StatesMid-LevelSenior💰 $110,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI-driven solutions, integrating AI with various business systems, and optimizing costs through effective model management and training programs. Proficient in cloud infrastructure and AI/ML tools, with a strong focus on security, compliance, and effective communication across technical and non-technical audiences.

Highest-signal resume keywords

AI/ML Tools And FrameworksAPI Development And IntegrationCloud Infrastructure (AWS, GCP, Azure)Cost Optimization And MonitoringData Privacy And Security Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Driven Solutions DevelopmentData Pipeline DevelopmentSystem Integration ArchitectureModel Risk AssessmentDocument GenerationKnowledge RetrievalDecision-Support WorkflowsCost Tagging And MonitoringAI Model BenchmarkingAutomation Frameworks

Soft Skills

Technical CommunicationTraining And Workshop FacilitationFeedback Loop EstablishmentCross-Functional CollaborationProblem-Solving

Tools & Technologies

HRISATSERPCI/CDDeveloper ToolingMCPMatter Management SystemsAI Agents InfrastructureDashboards And Reporting ToolsInternal Tooling

Industry Keywords

AI SafeguardsIdentity And Access ControlsBusiness Systems IntegrationEngineering WorkflowsCost Visibility And Forecasting

Tech Stack

Tools & technologies

AWSAzureCloudERPGoogle Cloud Platform

About the role

Key responsibilities & impact

Develop and deploy AI-driven solutions using LLMs, automation frameworks, and internal tooling
Integrate AI with HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling, CLM, and Matter Management systems
Build document generation, data extraction, knowledge retrieval, and decision-support workflows
Use modern integration standards such as MCP to provide secure access to internal knowledge and context
Test and benchmark AI models for accuracy, latency, cost, and safety
Support model risk assessments and due diligence with Security and GRC
Implement and maintain internal model routing solutions
Build dashboards and reporting for AI/LLM spend
Implement cost tagging, monitoring, and anomaly alerting
Execute cost optimization through prompt efficiency, caching, and model right-sizing
Provision, credential, de-provision, deploy, version, monitor, patch, and retire AI agents and infrastructure
Maintain audit trails and logging for agent actions
Design and deliver company-wide AI training programs
Create playbooks, guides, templates, and reusable components for safe AI adoption
Run onboarding sessions, office hours, and workshops
Establish feedback loops to improve training, tooling, and documentation
Work under a Technical Lead and report within the IT Operations AI Engineering function to the IT Business Systems Manager

Requirements

What you’ll need

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)
Experience hosting or operating services in production
Experience comparing and evaluating AI models across providers, including cost, latency, and quality trade-offs
Comfort working with usage and billing data for cost visibility, forecasting, or optimization
Ability to understand business and engineering workflows and translate them into technical solutions
Experience working with or integrating business systems and 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 AI safeguards, including identity and access controls for automated/non-human actors

Benefits

Comp & perks

Employer contributions towards healthcare
Equity in the company; stock options for every new team member
Flexible time off in the US
Generous time-off entitlement in other countries
USD$500 home office setup for remote employees
Global company-wide offsites and opportunities for in-person connection
Flexible work environment
Remote-friendly work arrangement