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Ai Automation Engineer Jobs in Washington (NOW HIRING)

Wilmerhale

AI Automation Engineer

Washington, DC · On-site

What You Will Be Doing The Automation Engineer is responsible for leading the design, implementation, and maintenance of automated and AI based solutions to improve legal workflows. This role ...

ASSYST, Inc.

Senior AI Automation Test Engineer

Washington, DC · Remote

$52 - $68.75/hr

ASSYST is seeking a Senior AI Automation Test Engineer in Washington D.C. (Remote role). This role involves modern test automation engineering with a strong emphasis on AIdriven quality assurance. At ...

Argo Cyber Systems

AI/ML Automation Engineer

Arlington, VA · On-site

$120K - $135K/yr

AI/ML Automation Engineer Location: Government Facility (Hybrid/Onsite) Security Clearance: Active Secret Clearance Required (TS/SCI Preferred) Customer: U.S. Department of Homeland Security (DHS ...

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 ...

Nwis

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 ...

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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 Sep 2, 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.

AI/Automation Engineer

Key Concepts Knowledgebase LLC

Bethesda, MD • On-site

Full-time

Re-posted 21 days ago

Job description

EOE Statement
Key Concepts Knowledgebase is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, sexual orientation (including transgender status, gender identity or expression), pregnancy (including childbirth, lactation, and related medical conditions), reproductive health decisions, marital status, personal appearance, matriculation, political affiliation, credit information, employment status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, status as a victim or family member of a victim of domestic violence, a sexual offense, or stalking, homeless status, or any other status protected by federal, state, or local laws.
Description
Position Summary/Overview:
Key Concepts Knowledgebase, LLC., is seeking an AI/Automation Engineer for a project at a large government support organization. The successful candidate will work with our IT managers, engineers, technicians, and the client to help with transforming how the organization digitizes forms, processes and automate workflows. Assisting with existing, modern platform that utilizes Microsoft's latest suite of enterprise AI tools and services.
Position Requirements
The AI/Automation Engineer key requirement/responsibilities are as follows:
Knowledge, Skills and Abilities:
  • Conduct a thorough assessment of the current applications and operational processes landscape and document existing gaps and opportunities for AI and Automation
  • Propose solutions and recommendations for system enhancements, including software updates, integrations, and process improvements.
  • Translate business requirements into technical solutions
  • Oversee the AI/ML and automation development lifecycle, including architecture design, experimentation, and performance optimization
  • Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI and automation into production environments
  • Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation
  • Ensure all solutions meet federal security, compliance, and cloud architecture standards
  • Develop project documentation, including project plans, timelines, and progress reports.
  • Communicate effectively with other team members, stakeholders and business partners
  • Developing clean code, debugging, teamwork workflows, version control, developing against APIs, developing using cloud basics and deployment pipelines
  • Building and deploying intelligent agents and agentic workflows using Microsoft Copilot Studio and Agent 365 to automate complex, multi-step business functions.
  • Designing and optimizing automation pipelines using Microsoft Power Automate, including AI Builder to infuse AI into Power Apps and automated processes.

Technical Requirements (required and desired - specify):
Required-
  • Extensive knowledge of Microsoft Power Platform including Power Automate, Azure Open AI, Microsoft Copilot Studio, Agent 365, Microsoft Purview, GitHub for version control, Visual Studio Code, Python, C#, Microsoft Azure AI Services, Azure Machine Learning.
  • Minimum of eight 5 to 8 years' overall relevant experience development and automation experience.
  • Minimum of 3+ years of hands-on experience in AI/ML and automation solution development
  • Four years' proven work experience as an AI Engineer or similar role in automation
  • Prior experience with federal or public sector digital modernization projects
  • Experience designing effective prompts and validating AI-generated output

Desired-
  • NIH experience
  • Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance

Training and Certifications:
  • Azure AI Engineer Associate (AI-102), Azure AI Fundamentals (AI-900), or specialized AI & ML Professional Certificates. Microsoft Certified: Agentic AI Business Solutions Architect

Education-
  • A degree in any related field and 3+ years of experience. Years of experience may be substituted for BS degree

Other:
  • Must be able to obtain and/or pass a public trust background check. Must be able to work flexible hours and multiple locations.

Full-Time/Part-Time
Full-Time
Position
AI/Automation Engineer
Location
Bethesda
This position is currently accepting applications.
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About Key Concepts Knowledgebase

Sourced by ZipRecruiter

Key Concepts Knowledgebase, LLC is a Small DBE Business, and solutions-driven enterprise based in the DC area. The company is founded on the provision of quality services, creative business and IT solutions, and responsible business processes. Mission Statement: With a focus on transferring knowledge on key concepts in the process, we seek to provide our customers with the best of breed services and solutions, to solve their business problems and be part of initiatives that drive sustainable, green IT solutions.

Industry

Network security

Company size

1 - 10 Employees

Headquarters location

Fairfax, VA, US

Social media

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