ZipRecruiter

Log In

1

Ai Automation Engineer Jobs in Washington (NOW HIRING)

Raya Workforce

Automation Engineer

Ashburn, VA · On-site

Automation Engineer (Industrial Controls / PLC Systems) Location: Ashburn, VA (On-site) Employment ... With rapid growth in cloud computing, AI, and digital infrastructure, this sector continues to ...

Goodwin

Automation Engineer

Washington, DC · On-site

We are seeking a highly motivated Automation Engineer to join our Enterprise Applications team ... Leverage Microsoft Azure AI services and related Generative AI tools to enhance automation ...

Nightwing Group

Data Automation Engineer

Arlington, VA · On-site

$90 - $120/hr

... AI/ML data preparation and feature engineering automation- Develop monitoring and alerting ... automation for integrated systems- Implement API integrations for data sharing and workflow ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

... • Support AI/ML data preparation and feature engineering automation • Develop monitoring and alerting automation for integrated systems • Implement API integrations for data sharing and ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

$77K - $163K/yr

... AI/ML data preparation and feature engineering automation - Develop monitoring and alerting automation for integrated systems - Implement API integrations for data sharing and workflow automation ...

Nwis

Data Automation Engineer

Arlington, VA

$99K - $206K/yr

... AI/ML data preparation and feature engineering automation - Develop monitoring and alerting automation for integrated systems - Implement API integrations for data sharing and workflow automation ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

$99K - $206K/yr

... AI/ML data preparation and feature engineering automation - Develop monitoring and alerting automation for integrated systems - Implement API integrations for data sharing and workflow automation ...

Node.Digital

AWS Data Automation Engineer

Arlington, VA · On-site

... AI/ML data preparation and feature engineering automation - Develop monitoring and alerting automation for integrated systems - Implement API integrations for data sharing and workflow automation ...

Node.Digital

AWS Data Automation Engineer

Arlington, VA · On-site

... AI/ML data preparation and feature engineering automation - Develop monitoring and alerting automation for integrated systems - Implement API integrations for data sharing and workflow automation ...

Node.Digital

AWS Data Automation Engineer

Arlington, VA · On-site

... AI/ML data preparation and feature engineering automation - Develop monitoring and alerting automation for integrated systems - Implement API integrations for data sharing and workflow automation ...

Esswd

Director of AI & Automation

Washington, DC · Hybrid

Ensures AI deployments adhere to Model Context Protocol (MCP) orchestration principles and are ... Manages the Catalyst Studio, the firm's shared, cross-functional engineering and automation build ...

Nwis

Data Automation Engineer

Arlington, VA · On-site

$77K - $163K/yr

... AI/ML data preparation and feature engineering automation -Develop monitoring and alerting automation for integrated systems -Implement API integrations for data sharing and workflow automation ...

previous pagenext page

Showing results 21-40

All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Washington

Ai Automation Engineer information

See Washington salary details

$41.9K

$121.3K

$184.6K

How much do ai automation engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai automation engineer in Washington is $121,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $139,900.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

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 skills and qualifications are needed to thrive as an AI automation engineer?

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 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 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.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

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 are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Washington?

For Ai Automation Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Washington look for?

The top searched job categories for Ai Automation Engineer jobs in Washington are:

What cities in Washington are hiring for Ai Automation Engineer jobs?

Cities in Washington with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution, with an average salary of $121,331 per year, or $58.3 per hour.

Automation Engineer

Raya Workforce

Ashburn, VA • On-site

Full-time

Re-posted 27 days ago

Job description

Automation Engineer (Industrial Controls / PLC Systems)

Location: Ashburn, VA (On-site)
Employment Type: Full-Time | Direct Hire
Compensation: Based on experience and current compensation

About the Opportunity

We are partnering with a specialized engineering and field services organization that supports mission-critical infrastructure environments, including large-scale data centers and critical facilities.

This role is focused on delivering high-reliability automation and control systems that support backup power and fuel-related infrastructure—where system uptime is essential to ongoing operations.

With rapid growth in cloud computing, AI, and digital infrastructure, this sector continues to expand significantly, creating strong long-term demand for skilled automation professionals.

Position Overview

This is a hands-on Automation Engineer role responsible for the design, development, programming, and support of PLC-based control systems used in industrial and mission-critical environments.

The role combines engineering design, system development, and real-world troubleshooting, working closely with cross-functional teams to ensure performance, reliability, and compliance.

Key Responsibilities
  • Automation System Design & Development
    Design and build PLC-based control systems tailored to industrial applications and critical infrastructure environments.
  • Control Panel Engineering
    Develop and maintain electrical schematics and panel layouts using CAD tools, ensuring alignment with industry standards and compliance requirements.
  • PLC Programming & Troubleshooting
    Program, test, debug, and optimize PLC systems. Provide both remote and on-site troubleshooting support for operational systems.
  • Process Flow & Documentation
    Create and maintain process flow diagrams, control logic documentation, and system updates aligned with version control practices.
  • Field Support & System Optimization
    Collaborate with field teams and stakeholders to support commissioning, issue resolution, and continuous system improvement.
  • Technical Training & Support
    Assist in developing technical documentation, user guides, and troubleshooting manuals for operational teams.
Required Qualifications
  • 5–8 years of experience in industrial automation / controls engineering
  • Strong expertise with Siemens PLC platforms (TIA Portal, S7-1200/1500, HMI systems)
  • Experience with control panel design and electrical schematics (2D CAD)
  • Hands-on experience with I/O configuration, industrial networking, and communication protocols (Modbus TCP/IP, RS232)
  • Familiarity with UL508A standards and industrial compliance practices
  • Working knowledge of networking and system-level troubleshooting
  • Strong problem-solving skills with a hands-on, field-oriented mindset
Work Environment & Expectations
  • On-site role supporting industrial and mission-critical facilities
  • Blend of engineering design + hands-on troubleshooting
  • Exposure to systems supporting backup power and fuel infrastructure
  • High accountability environment where system uptime is critical
What They’re Looking For
  • Engineers who can own systems end-to-end, not just execute tasks
  • Strong PLC troubleshooting capability in live environments
  • Ability to work across design, programming, and field support
  • Detail-oriented, structured, and reliable under pressure
Why This Role Stands Out
  • Work within a high-growth infrastructure sector (data centers / critical facilities)
  • Exposure to complex, real-world automation systems
  • Opportunity to contribute to systems where failure is not an option
  • Long-term growth aligned with automation + infrastructure demand