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Ai Automation Engineer Jobs (NOW HIRING)

Libbey

AI & Automation Engineer

Toledo, OH · On-site

The AI & Automation Engineer (Agentic AI) , reporting to the Director, Cyber Security & AI, is responsible for assisting in the execution of Libbey's enterprise AI strategy by designing and ...

Tyndale

AI Automation Engineer

Pipersville, PA · Hybrid

$158K - $165K/yr

Overview Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI ...

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 ...

Tyndale

AI Automation Engineer

Pipersville, PA · Hybrid

$158K - $165K/yr

Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI Agents, and ...

Gate City Bank

AI Automation Engineer II

Fargo, ND · On-site +1

Location Fargo Corporate Office The AI / Automation Engineer II is a skilled automation practitioner who independently designs and delivers secure, supportable business automations and solutions.

Tyndale

AI Automation Engineer

Houston, TX · Hybrid

Overview Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI ...

Tyndale

AI Automation Engineer

Houston, TX · On-site

Overview Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI ...

D.A. Davidson

AI & Automation Engineer

Omaha, NE

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 ...

Tebra

AI Automation Engineer

OR · Remote

About the Role We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and AI-driven workflows that power our enterprise data and business ...

D.A. Davidson

AI & Automation Engineer

Seattle, WA

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

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

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 ...

Tyndale

AI Automation Engineer

Pipersville, PA · Hybrid

Overview Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI ...

Tyndale

AI Automation Engineer

Pipersville, PA · Hybrid

$158K - $165K/yr

Overview Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI ...

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

Portland, OR

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 ...

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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 21, 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 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.

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 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 engineers make $500,000?

Senior AI Automation Engineers with extensive experience, advanced skills in machine learning, and expertise in automation tools can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Achieving this level typically requires specialized knowledge, certifications, and a strong track record of successful projects.

Is AI Automation Engineer in demand?

AI Automation Engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They typically require skills in machine learning, programming, and tools like Python and TensorFlow, with job growth expected to continue as companies seek to improve efficiency and innovation.

What is an AI Automation Engineer?

An AI Automation Engineer designs and develops systems that use artificial intelligence to automate tasks and processes. They typically work with machine learning models, programming languages like Python, and automation tools to improve efficiency and reduce manual effort in various industries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized AI consultants earning this salary range. These positions often require advanced skills in AI development, leadership experience, and may involve working in competitive industries like technology or finance.
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Ai Automation Engineer jobs near you
AI & Automation Engineer

AI & Automation Engineer

Libbey

Toledo, OH • On-site

Full-time

Posted 3 days ago

Libbey rating

5.3

Company rating: 5.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

The AI & Automation Engineer (Agentic AI), reporting to the Director, Cyber Security & AI, is responsible for assisting in the execution of Libbey's enterprise AI strategy by designing and delivering AI agents, automation workflows, and AI-powered business solutions across the enterprise (U.S., Canada, Mexico & China).
RESPONSIBILITIES
  • Design and build AI agents capable of multi-step reasoning, task execution, and tool usage
  • Develop AI-driven automation workflows integrated with enterprise platforms such as Microsoft 365, SharePoint, Teams, and Dynamics
  • Prototype, test, and deploy LLM-based solutions using prompt engineering and structured reasoning
  • Translate Libbey's AI strategy into practical, scalable solutions
  • Identify areas for AI or automation
  • Engage with business partners across functions to understand processes, challenges, and opportunities suitable for AI and automation solutions
  • Translate business needs and operational processes into actionable AI and automation use cases
  • Collaborate with IT, Security, and business stakeholders to identify high-value AI use cases
  • Understand data structures, content organization, and metadata requirements necessary to enable effective and accurate AI and automation solutions
  • Collaborate with data owners and business stakeholders to ensure data, metadata, and structures are suitable for AI-driven use cases
  • Integrate AI solutions with APIs, data sources, and automation platforms
  • Document AI workflows, architectures, and lessons learned
  • Support AI governance, security, and responsible AI practices
  • Participate in AI training, demos, and internal enablement efforts
  • Continuously evaluate emerging AI tools, agent frameworks, and automation capabilities

REQUIREMENTS & QUALIFICATIONS
  • Bachelor's Degree in Computer Science, Engineering, Data Science, or a related field required
  • Approximately 1 year of hands-on experience building AI agents, AI-powered workflows, or automations
  • Demonstrated experience with LLM-based solutions and agent frameworks
  • Familiarity with automation platforms, APIs, and enterprise systems
  • Experience with Enterprise Agentic Design Patterns and Frameworks
  • Strong problem-solving skills and ability to learn rapidly in a fast-evolving AI landscape
  • Strong communication and documentation skills
  • Ability to work effectively in a cross-functional team environment
  • Self-motivated with a continuous improvement mindset

LOCATION REQUIREMENTS
  • Occasional work in-office or manufacturing environments; up to 20% on-premise for project based needs
  • Infrequent international travel required (Mexico, China)

COMPETENCIES FOR SUCCESS
  • Take Control: Seek direction and support to achieve mastery of objectives
  • Be Engaged & Committed: Learn, engage, and contribute consistently
  • Be Accountable: Own outcomes and deliver on commitments
  • Continuous Improvement Mindset: Act with curiosity and drive efficiency and innovation
  • Plan & Execute: Manage work effectively, setting clear performance expectations and holding yourself and team members accountable for outcomes. Actively monitor performance, providing clear and concise feedback. Act with fairness and integrity in all situations.

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