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Remote Ai Automation Jobs (NOW HIRING)

Tebra

Senior AI Automation Engineer

$106K - $139K/yr

About the Role We are seeking a hands-on AI & Automation Engineer to design, build, and optimize ... Remote We are dedicated to attracting and retaining top talent with competitive and fair ...

OWN, Inc.

Director of AI & Automation

Lowell, AR · On-site +1

We are seeking a strategic and hands-on Director of AI & Automation to lead the implementation of ... Flexible work arrangement with both remote and onsite time When you join us, you can find your OWN ...

Jobgether

Our partner is looking for an AI Engineer [gn] (Agentic AI & Automation) based in Netherlands. This ... Flexible working arrangements, including remote or hybrid work options. * Opportunity to work on ...

OWN, Inc.

Director of AI & Automation

Springfield, MO · On-site +1

We are seeking a strategic and hands-on Director of AI & Automation to lead the implementation of ... Flexible work arrangement with both remote and onsite time When you join us, you can find your OWN ...

OWN, Inc.

Director of AI & Automation

Overland Park, KS · On-site +1

We are seeking a strategic and hands-on Director of AI & Automation to lead the implementation of ... Flexible work arrangement with both remote and onsite time When you join us, you can find your OWN ...

Axos Bank

AI & Automation Solution Architect

San Diego, CA · On-site +1

$100K - $138K/yr

... NE Remote or Hybrid is not available. Target Range: $100,000.00/Yr. - $138,000.00/Yr. Actual ... AI/Automation Tech Stack: familiarity with the modern AI landscape (LLMs, RAG, Agents) and ...

System One

Automation Engineer - Remote

Seaford, DE · Remote

The Automation Engineer II, reporting to the Manager, Automation and AI, is a developing contributor on our Scrum teams who designs, builds, and maintains automation solutions that streamline ...

System One

Automation Engineer - Remote

Seaford, DE · Remote

The Automation Engineer II, reporting to the Manager, Automation and AI, is a developing contributor on our Scrum teams who designs, builds, and maintains automation solutions that streamline ...

System One

Automation Engineer - Remote

Seaford, DE · Remote

The Automation Engineer II, reporting to the Manager, Automation and AI, is a developing contributor on our Scrum teams who designs, builds, and maintains automation solutions that streamline ...

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How much do remote ai automation jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote ai automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Remote AI Automation Specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What is a Remote AI Automation job?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.
More about Remote Ai Automation jobs
What cities are hiring for Remote Ai Automation jobs? Cities with the most Remote Ai Automation job openings:
What are the most commonly searched types of Ai Automation jobs? The most popular types of Ai Automation jobs are:
What states have the most Remote Ai Automation jobs? States with the most job openings for Remote Ai Automation jobs include:
What job categories do people searching Remote Ai Automation jobs look for? The top searched job categories for Remote Ai Automation jobs are:
Remote Ai Automation jobs near you
Infographic showing various Remote Ai Automation job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, 13% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
AI & Automation Developer - Remote - Sarnova

AI & Automation Developer - Remote - Sarnova

Sarnova HC, LLC

Dublin, OH • On-site, Remote

Full-time

Retirement

Posted 4 days ago

New

Sarnova rating

7.7

Company rating: 7.7 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Summary:
We're building the future of intelligent systems-and we're looking for an AI and Automation Engineer to help lead the charge. In this role, you'll design, build, and deploy scalable automation solutions that drive efficiency, reduce manual work, and accelerate innovation across the organization.
You'll work closely with teammates in Information Technology as well as business stakeholders to identify automation opportunities and turn them into reliable, AI-driven workflows. From robotic process automation (RPA) to workflow orchestration and generative AI, your work will have a measurable impact in helping to shape Sarnova's future.
Essential Duties and Responsibilities:
  • Design, develop, deploy, and support AI agents using Azure AI Foundry and Microsoft Copilot Studio.

  • Build conversational, autonomous, and multi-agent solutions using the Foundry SDK, Agent Framework, Responses API, Copilot Studio, and related Microsoft AI technologies.

  • Design prompt-based and hosted agents, selecting and optimizing models based on business requirements, performance, quality, and cost.

  • Integrate AI solutions with enterprise data and business systems through APIs, MCP, Power Platform, Dataverse, Dynamics 365, Azure Functions, custom services, and external platforms.

  • Implement Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, Foundry IQ, and enterprise knowledge sources.

  • Design and orchestrate multi-agent workflows, Agent-to-Agent (A2A) coordination, routing, and human-in-the-loop processes.

  • Develop scalable, reusable, secure, and enterprise-ready AI automation solutions.

  • Monitor, troubleshoot, evaluate, and continuously improve AI solution quality, reliability, safety, and performance.

  • Create technical documentation, testing assets, operational playbooks, and implementation standards.

  • Collaborate with business and technical stakeholders to identify, prioritize, and deliver AI-driven solutions that provide measurable business value.

  • Stay current with emerging AI technologies and advancements across Azure AI Foundry, Copilot Studio, Power Platform, and the Microsoft AI ecosystem.

Skills/Experience Required:
  • 2+ years of experience in AI development, automation engineering, software development, or a related field.

  • Hands-on experience designing, developing, deploying, and supporting AI agents using Azure AI Foundry and Microsoft Copilot Studio.

  • Experience with agent development and orchestration, including prompt-based and hosted agents, Foundry SDK, Agent Framework, Responses API, multi-agent workflows, and agent integrations.

  • Experience implementing Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, vector search, embeddings, and citation-based responses.

  • Experience building conversational and autonomous agents in Copilot Studio, including generative answers, knowledge grounding, and workflow automation.

  • Experience integrating AI solutions with Power Platform, Dataverse, Dynamics 365, APIs, Azure Functions, microservices, and enterprise applications.

  • Proficiency in Python (preferred), C#, and/or JavaScript/TypeScript, along with modern development tools such as VS Code, Git, Azure DevOps, and Azure CLI.

  • Knowledge of Model Context Protocol (MCP), custom function tools, external integrations, and API-driven architectures.

  • Strong understanding of leading LLMs, prompt engineering, context management, conversational memory, model evaluation, and AI solution optimization.

  • Experience with Azure services including Azure Functions, Azure AI Search, Storage, Key Vault, Microsoft Entra ID, and microservice-based solutions.

  • Working knowledge of SQL Server, data integration concepts, SharePoint, and Dynamics 365 Finance & Operations and CRM applications.

  • Familiarity with observability, monitoring, application logging, security, Responsible AI practices, governance, and CI/CD deployment processes.

  • Experience delivering automation solutions using Power Automate, UiPath, or similar workflow and automation platforms.

  • Strong analytical, communication, and stakeholder collaboration skills with the ability to translate business requirements into scalable technical solutions

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field; equivalent practical experience will also be considered.

  • Microsoft certifications related to Azure AI, AI Engineering, Power Platform, Copilot Studio, or Agent Development (e.g., Azure AI Engineer Associate or successor certifications).

  • Experience in healthcare, regulated, distribution, manufacturing, or other compliance-focused industries with an understanding of security, privacy, and governance requirements.

Experience with one or more of the following advanced Microsoft AI capabilities is highly desirable:
  • Deploying and managing hosted agents in Azure AI Foundry, including managed runtimes, identity, observability, and enterprise governance.

  • Designing multi-agent architectures, Agent-to-Agent (A2A) coordination, autonomous workflows, and human-in-the-loop processes.

  • Developing and maintaining MCP servers, MCP tool catalogs, reusable agent tools, and custom function integrations.

  • Leveraging Foundry IQ, Azure AI Search, and advanced RAG architectures for enterprise knowledge grounding and retrieval.

  • Utilizing advanced Azure AI Foundry capabilities such as built-in agent tools, managed memory, evaluation frameworks, observability, guardrails, and governance controls.

  • Publishing and managing agents across Microsoft Teams, Microsoft 365 Copilot, Dynamics 365, and custom web experiences.

  • Implementing enterprise AI governance, DLP policies, ALM strategies, environment management, and Responsible AI frameworks.

  • Experience integrating AI solutions with Microsoft Fabric, Power BI, advanced analytics platforms, or enterprise data ecosystems.

  • Knowledge of Microsoft Entra Agent ID, managed identities, enterprise authentication, and secure agent access patterns.

Physical Requirements:
  • Sit, walk, stand, use hands to manipulate, handle, feel, and control items or equipment

  • Reach with hands and arms

  • Talk and hear

  • See and be able to read, write, and interpret text

  • Employee may use computer, phone, copier and other office equipment in the course of a day

  • Occasionally lift and move objects weighing up to 10 pounds

  • Employee may be required to travel for business purposes

  • When working remotely, ability to secure confidential information

  • When working remotely, perform all duties in a professional environment free of noise or anything that would create a negative customer experience

Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential function of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Continuous is defined as 6-8 hours, frequently is defined as 3-6 hours, and occasionally is defined as up to 3 hours.
Work Schedule: Employee will be required to work a minimum of forty (40) hours of per week or as many hours as it may take to perform above job duties. Schedule may vary based on business demands and will require a combination of office hours as well as work performed after hours and/or weekends at times.
Sarnova is an Equal Opportunity Employer. We offer a competitive salary, commensurate with experience, along with a comprehensive benefits package, including 401(k) Plan. EEO/M/F/Veterans/Disabled. Our mission is to be the best partner for those who save and improve patients' lives. Excellence in delivering upon our mission is dependent upon having a diverse team that is empowered to bring their full, authentic self to work each day. We strive to create a workplace that reflects the communities we serve, and we are passionate

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