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Ai Automation Engineer Jobs in Silver Spring, MD

PB consulting

GenAI Test Automation Engineer

Dunn Loring, VA · On-site

$46.25 - $61/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Brentwood, MD · On-site

$46.50 - $61.25/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Langley Park, MD · On-site

$47 - $62/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Silver Spring, MD · On-site

$34.75 - $45.75/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Greenway, VA · On-site

$37.75 - $49.75/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Rockville, MD · On-site

$47 - $62/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Bethesda, MD · On-site

$49.25 - $65/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

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 ...

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 ...

PB consulting

GenAI Test Automation Engineer

Vienna, VA · On-site

$46.25 - $61/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Fort Belvoir, VA · On-site

$52 - $68.75/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Fairfax, VA · On-site

$47 - $62/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

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 ...

PB consulting

GenAI Test Automation Engineer

Silver Spring, MD · On-site

$48.50 - $64/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

PB consulting

GenAI Test Automation Engineer

Newington, VA · On-site

$51 - $67.50/hr

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development ... The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Silver Spring, MD

Ai Automation Engineer information

See Silver Spring, MD salary details

$38.3K

$110.7K

$168.5K

How much do ai automation engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai automation engineer in Silver Spring, MD is $110,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $127,700.00 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 job categories do people searching Ai Automation Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Ai Automation Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai Automation Engineer jobs?

Cities near Silver Spring, MD with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $110,745 per year, or $53.2 per hour.

GenAI Test Automation Engineer

PB consulting

Dunn Loring, VA • On-site

$46.25 - $61/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development, agentic workflows, and intelligent test automation. The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks, and integrate Generative AI capabilities into software quality processes.

Required Qualifications
  • 5+ years of experience in AI development, software engineering, or test automation.
  • Hands-on experience building LLM-powered agents and agentic workflows.
  • Experience using Generative AI tools such as GitHub Copilot and Claude.
  • Strong knowledge of AI-driven test automation, workflow automation, and quality engineering practices.
  • Experience with GitHub platform, CI/CD workflows, and automation pipelines.
Key Responsibilities
  • Design and implement reusable agentic testing frameworks for automated test generation, maintenance, failure analysis, and defect reporting.
  • Develop AI-powered solutions for requirements validation, test case generation, and quality insights.
  • Build automated reporting solutions by aggregating test results, service data, logs, and defect information.
  • Create AI-based quality gates to validate requirements, acceptance criteria, test coverage, and dependencies.
  • Establish test automation standards, templates, and best practices across teams.
Required Technical Skills

GenAI / LLM / Agent Development

  • Experience building LLM-based agents with tool usage, structured outputs, guardrails, and prompt engineering.
  • Experience designing AI workflows for test generation, analysis, and reporting.

Automation & Testing

  • Strong experience with test automation frameworks such as:
    • Karate (API testing, contract testing, data-driven testing)
    • Playwright (UI automation, selectors, parallel execution)
  • Knowledge of test strategy, coverage, regression testing, and defect analysis.

GitHub & DevOps

  • Strong experience with:
    • GitHub Copilot
    • GitHub Actions
    • CI/CD automation
    • Pull request checks and workflow integrations
    • GitHub APIs/webhooks
Preferred Skills
  • Experience with microservices architectures.
  • Experience building AI-assisted engineering tools.
  • Knowledge of cloud platforms, DevOps practices, and Agile methodologies.
Deliverables
  • AI-powered agentic testing automation framework.
  • GenAI-driven reporting and quality insights.
  • Automated quality gates integrated into development workflows.
  • Standardized testing guidelines and reusable templates.

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