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Ai Automation Engineer Jobs (NOW HIRING)

D.A. Davidson

AI & Automation Engineer

Bozeman, MT · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Helena, MT

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Omaha, NE · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Billings, MT · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Seattle, WA · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Great Falls, MT · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Missoula, MT

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

Nexpoint

AI Automation Engineer

Dallas, TX · On-site

Summary We are seeking a mid level Automation Engineer to join our IT team and design, build, and ... Design and implement AI assisted automations leveraging LLMs and generative AI services within ...

D.A. Davidson

AI & Automation Engineer

Minneapolis, MN · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Denver, CO · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

ATTOM

Ai Automation Engineer

The AI Automation Engineer will transition ATTOM from ad-hoc AI experimentation to a structured program, collaborating with various departments to integrate AI into workflows and enhance productivity ...

NexPoint Advisors LP

AI Automation Engineer

Dallas, TX · On-site +1

Summary We are seeking a mid level Automation Engineer to join our IT team and design, build, and ... Design and implement AI assisted automations leveraging LLMs and generative AI services within ...

phData

OR · On-site

AI Automation Engineer - Internal Platform At phData, the Platform team builds and operates our internal Intelligence Platform , powering our Operations, Sales, Delivery, and Finance teams with data ...

NexPoint

AI Automation Engineer

Dallas, TX · On-site

They are seeking a mid-level Automation Engineer to join their IT team and design, build, and ... AI Builder (document and form processing, table extraction) & API based integrations using HTTP ...

phData

AI Automation Engineer - Internal Platform

We are seeking an AI Automation Engineer to join our Platform team. This role is a hands-on technical partner to business groups across the organization. The ideal candidate has experience with AI ...

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All JobsAi Automation Engineer Jobs

Ai Automation Engineer information

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$37K

$107.1K

$163K

How much do ai automation engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for ai automation engineer 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 are the key skills and qualifications needed to thrive as an AI Automation Engineer, and why are they important?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are some common challenges faced by AI Automation Engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What are AI Automation Engineers?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

More about Ai Automation Engineer jobs
What cities are hiring for Ai Automation Engineer jobs? Cities with the most Ai Automation Engineer job openings:
What states have the most Ai Automation Engineer jobs? States with the most job openings for Ai Automation Engineer jobs include:
What job categories do people searching Ai Automation Engineer jobs look for? The top searched job categories for Ai Automation Engineer jobs are:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in the United States as of May 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
AI Automation Engineer

AI Automation Engineer

Prestige International Insurance Group, Inc

Tamarac, FL • On-site, Remote

Full-time

Posted 20 days ago

Job description

Position SummaryWe are seeking an experienced AI Automation Engineer to design, build, and maintain intelligent automation systemsthat support our commercial insurance agency and franchise operations.This role focuses on AI agents, robotic process automation (RPA), and system orchestrationthat execute real operational workflows across shared mailboxes, document systems, CRMs, and third-party web platforms.This is a hands-on, execution-focused role. The ideal candidate has delivered production-grade automation, not just models, proofs of concept, or analytics dashboards.This is a full-time, in-house position.Key ResponsibilitiesAI Agents & Intelligent Automation
  • Design and implement AI-driven automation agentscapable of executing complex, multi-step business workflows
  • Combine AI-based decisioningwith deterministic, rule-based logic to ensure accuracy, reliability, and compliance
  • Implement human-in-the-loop approvals, escalation paths, and exception handling for regulated operations
Workflow Automation
  • Build automation systems that:
    • Monitor and process shared mailboxes
    • Identify, classify, and filter inbound emails and attachments
    • Detect and extract PDF documents and specific document types
    • Parse multi-page PDFs and isolate required sections
    • Route extracted documents to the appropriate internal teams or systems
  • Automate document organization, including folder creation, naming conventions, and categorizationbased on business rules
Intake Processing & Data Normalization
  • Develop systems that:
    • Accept uploaded intake documents or forms through internal platforms or portals
    • Extract, validate, and normalize structured data from unstructured inputs
    • Perform data completeness checks and eligibility validation prior to downstream processing
  • Maintain consistent data schemas across automation workflows
Robotic Process Automation & Multi-System Execution
  • Design and manage robotic automation workflowsfor systems where APIs are unavailable
  • Orchestrate one or more automation robotsthat:
    • Interact with web-based platforms through form-based workflows
    • Execute data entry, submission, and validation processes
    • Handle rejections, retries, alternate processing paths, and system variability
  • Support automation execution across isolated virtual environments or instancesto ensure scalability and reliability
Automation Outcome Reporting & Feedback Loops
  • Implement mechanisms for automation agents and robots to:
    • Capture execution results, confirmations, and rejection states
    • Report structured outcomes back to internal systems
    • Surface actionable information for human review and decision-making
  • Ensure all automation actions are logged, traceable, and auditable
Workflow Integration & System Reliability
  • Integrate automation workflows across:
    • Email systems
    • CRMs and agency management platforms
    • Document repositories
    • Task, notification, and ticketing systems
  • Build fault-tolerant systems with:
    • Monitoring, alerting, and recovery workflows
    • Graceful degradation and human fallback paths
Security, Compliance & Documentation
  • Ensure all automation adheres to data privacy, security, and regulatory requirements
  • Securely manage credentials, access controls, and execution environments
  • Document system architectures, workflows, and operational procedures for scalability and franchise deployment
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or equivalent practical experience
  • Proven experience delivering automation, RPA, or AI-driven systemsin production environments
  • Strong proficiency in Pythonand backend development
  • Experience with:
    • RPA and browser automation tools(Playwright, Selenium, Puppeteer, UiPath, or similar)
    • Workflow orchestration and event-driven systems
    • API and non-API system integrations
  • Experience working with unstructured data (PDFs, emails, scanned documents)
  • Ability to design maintainable, fault-tolerant, auditable automation solutions

Preferred Qualifications
  • Experience in insurance, financial services, or other regulated industries
  • Familiarity with insurance agency workflows and operations
  • Experience with:
    • CRM platforms (Salesforce, NowCerts, or similar)
    • Agency management systems
    • Accounting platforms (QuickBooks, Sage, or similar)
  • Experience with Large Language Models (LLMs)and AI orchestration frameworks
  • Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, and CI/CD pipelines
  • Experience supporting multi-location or franchise environments

Interview & Evaluation Requirement
  • Demonstration of prior work is mandatory

  • Candidates must be prepared to:
    • Walk through real automation or AI systems they have built
    • Explain system architecture, trade-offs, and failure handling
    • Discuss challenges encountered and how they were resolved
  • Code samples, repositories, demos, or recorded walkthroughs are strongly preferred

Apply