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Ai Operator Jobs (NOW HIRING)

Sherwood Bedding

AI Architect (Salary)

Orlando, FL · On-site

It is the AI operating-model owner for the enterprise. Key Responsibilities AI Strategy & Operating Model Ownership * Own the enterprise AI operating model, roadmap, and architecture -- setting ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision.

Jarvio

Strategic Account Manager

San Francisco, CA · On-site

About Jarvio Jarvio is the AI operator for eCommerce brands. Today it runs your Amazon operations end to end, and we're expanding fast across Shopify, Walmart, eBay, and TikTok Shop. We're a high ...

Sherwood Bedding

AI Architect (Salary)

Orlando, FL · On-site

It is the AI operating-model owner for the enterprise. Key Responsibilities * Own the enterprise AI operating model, roadmap, and architecture -- setting standards for design, security, compliance ...

Eloquent AI

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision.

EarnIn

AI Operations Specialist

Mountain View, CA · Hybrid

$85K - $100K/yr

What You'll Do AI Operating Model & SOP Development (35%) * Design and maintain detailed AI Operating Procedures (AOPs/SOPs) that define how Agent AI should behave across supported use cases.

Chubb Ltd.

The VP, AI Operating Model and Execution will serve as the connector among users, technologists, and senior leaders across Global Data & Analytics, advancing the vision, building early examples, and ...

Sherwood Bedding Group, LLC

AI Architect (Salary)

Orlando, FL · On-site

$58.75 - $77.50/hr

It is the AI operating-model owner for the enterprise. Key Responsibilities * Own the enterprise AI operating model, roadmap, and architecture -- setting standards for design, security, compliance ...

Broccoli AI

AI Implementation Lead

San Francisco, CA · On-site

About Broccoli AI Broccoli AI is building the AI operating system for home service businesses. We work with plumbing, HVAC, and electrical contractors, the people who keep homes running, and we ...

ClickUp USA

100x Operator, Chief Of Staff

San Diego, CA · On-site

I'm looking for a 100x AI operator and Chief of Staff to be the connective tissue between me and the rest of the company. One person who builds the systems that keep me in the details of everything ...

Jarvio

Head of Partnerships

San Francisco, CA · On-site

About Jarvio Jarvio is the AI operator for eCommerce brands. Today it runs your Amazon operations end to end, and we're expanding fast across Shopify, Walmart, eBay, and TikTok Shop. We're a high ...

TIFIN

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$128K - $168K/yr

WHO WE ARE TIFIN builds the AI operating layer for wealth. Our platform delivers agentic workflows across the industry's core personas-investors, advisors, investment teams, and operations-so ...

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Ai Operator information

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How much do ai operator jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for ai operator in the United States is $23.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $21.88 per hour, depending on experience, location, and employer.

What is an AI operator?

An AI Operator is responsible for managing, monitoring, and optimizing artificial intelligence systems to ensure they function efficiently and effectively. They work with machine learning models, troubleshoot AI-related issues, and oversee the deployment of AI-driven solutions. Their role often requires technical skills in data processing, software tools, and automation workflows to maintain system performance and reliability. AI Operators may collaborate with engineers and data scientists to enhance AI capabilities and implement improvements.

What does an AI operator do?

An AI Operator is responsible for monitoring and maintaining AI systems, ensuring their optimal performance and addressing any malfunctions or anomalies that arise. This often includes reviewing AI-generated outputs, troubleshooting technical issues, updating software, performing regular system health checks, and coordinating with data scientists, engineers, or end-users to meet operational goals. Many AI Operators work in a collaborative, team-based environment where timely communication and documentation are essential. The role may also involve reporting on system metrics, assisting with model retraining, and supporting the deployment of updates or improvements.

What are the key skills and qualifications needed to thrive as an AI operator?

To thrive as an AI Operator, you need a foundational understanding of machine learning workflows, computer science principles, and proficiency with data processing, typically supported by a relevant technical degree or certification. Familiarity with AI management platforms, automated monitoring tools, and scripting languages like Python is highly valuable. Attention to detail, problem-solving skills, and effective communication are important soft skills for this role. These capabilities ensure smooth AI system operations, rapid issue resolution, and effective collaboration within multidisciplinary teams.

How much does an AI operator make?

AI operators typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of tasks. Entry-level positions may start lower, while experienced operators with specialized skills or certifications can earn higher salaries.

How to become an AI operator?

To become an AI operator, you typically need a background in computer science, data analysis, or related fields, along with knowledge of AI and machine learning tools. Gaining experience with programming languages like Python and understanding AI frameworks such as TensorFlow or PyTorch is essential. Certifications in AI or data science can also enhance your qualifications for this role.
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Ai Operator jobs near you
Infographic showing various Ai Operator job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,930 per year, or $23 per hour.

AI Architect (Salary)

Orlando, FL • On-site

Sherwood Bedding
Manufacturing • 501 - 1,000 employees
Learn more about Sherwood Beddingexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Key responsibilities

  • Design, build, deploy, and govern enterprise AI solutions, including AI agents, copilots, and workflows across various functions.

  • Architect and administer AI platform solutions, establish standards for deployment, security, and governance, and monitor AI performance and quality in production.

  • Partner with leadership and functional teams to identify AI opportunities, drive adoption, and deliver measurable business outcomes.

Job description

AI Architect

Manufacturing Operations | Enterprise AI & Automation | Orlando, Florida | On-Site

We are seeking an experienced AI Architect to design, govern, and scale our enterprise AI ecosystem. This is a senior, hands-on role for a builder-leader who can define the AI operating model, architect the platform, ship production-grade agents, and drive measurable business outcomes across a multi-plant manufacturing environment.

About the Role

The AI Architect owns how AI is designed, deployed, governed, and scaled across the company. The position spans strategy and execution — setting standards and architecture on one hand, and personally building agents, integrations, and automations on the other. The role partners closely with leadership and functional teams across manufacturing, supply chain, quality, maintenance, finance, sales, customer service, and corporate operations.

This is not a project-implementer role. It is the AI operating-model owner for the enterprise.

Key Responsibilities

AI Strategy & Operating Model Ownership

  • Own the enterprise AI operating model, roadmap, and architecture — setting standards for design, security, compliance, and lifecycle management.
  • Serve as the primary advisor to leadership on AI capabilities, risks, ROI, and platform investment decisions.

Agent Development & AI Solutions

  • Design, build, and deploy production AI agents, copilots, and intelligent workflows across operations, finance, supply chain, and commercial functions.
  • Engineer prompt frameworks, orchestration logic, multi-agent handoffs, and a reusable component library that accelerates future deployments.

Enterprise Microsoft AI Platform Leadership

  • Architect and administer solutions across Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, Fabric, and Dataverse.
  • Define tenant-level standards for agent deployment, identity, permissions, DLP, data residency, and governance.

 

 

Integration, APIs & Interoperability

  • Design and implement API-driven integrations between AI solutions and ERP, HRIS, quality, maintenance, and other core business systems.
  • Apply modern interoperability patterns — REST, GraphQL, event-driven, MCP, and RAG — to connect AI securely to enterprise data.

AI Governance, Evaluation & Production Monitoring

  • Establish governance for AI agents, models, and automations — covering intake, approval, versioning, evaluation, and decommissioning.
  • Monitor production AI for quality, drift, cost, and business outcomes; implement auditability and responsible-AI controls.

Operational Improvement & Change Leadership

  • Partner with plant, functional, and executive leaders to identify and prioritize high-value AI opportunities.
  • Drive cross-functional adoption tied to measurable outcomes — productivity, quality, throughput, and decision-making.

Qualifications

Required

  • Demonstrated experience designing, building, and operating AI agents, copilots, or generative AI applications in production — not just chatbots, pilots or demos.
  • Deep, hands-on expertise with the Microsoft enterprise stack: Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Fabric, Dataverse, SharePoint, and Teams.
  • Meaningful working experience with at least one non-Microsoft AI platform (e.g., OpenAI, Anthropic, Google, AWS, or open-source LLM ecosystems).
  • Strong experience with API integrations, custom connectors, authentication, and data pipelines across enterprise systems.
  • Practical understanding of AI governance, evaluation, security, and production monitoring.
  • Ability to communicate clearly with executives, technical teams, and front-line employees, and to translate business problems into AI solutions.

Preferred

  • Experience with agent frameworks and interoperability standards (e.g., MCP, LangChain, Semantic Kernel, AutoGen).
  • Experience with retrieval systems, vector databases, and enterprise knowledge grounding.
  • Experience integrating AI with ERP, or shop-floor systems in a manufacturing or supply-chain environment.
  • Experience defining enterprise AI architectures spanning multiple vendors, models, and data platforms.
  • Manufacturing, distribution, or multi-site operations experience.

Location & Work Arrangement

Location: Orlando, Florida. This is an on-site role in a manufacturing environment.

Compensation & Benefits

Salary range: commensurate with experience and the scope of enterprise ownership.

Benefits may include: 

  • Medical, dental, vision, and life insurance options
  • Paid time off and paid holidays
  • 401(k) retirement plan

How to Apply

Submit your resume along with a brief description of an AI agent or solution you personally designed and shipped to production — including the problem, architecture, models and platforms used, integrations, governance approach, and measurable business impact.

Equal Opportunity Employer

We are an Equal Opportunity Employer and consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, genetic information, or any other status protected by applicable law.