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Full Time Remote Automation Engineer Jobs in Washington

A.C. Coy

Automation Test Engineer (Remote)

Arlington, VA · Remote

$53 - $70/hr

Overview * Tier One Technologies has an immediate need for a Test Automation Engineer to support our US Government client. * This will be a 100% remote position. * SELECTED CANDIDATES WITHOUT ...

SAIC

CI/CD and Platform Automation Engineer

Vienna, VA · Remote

$160K - $200K/yr

Systems Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a DevOps or CI/CD Engineer ...

Excella

Lead DevOps Automation Engineer

Arlington, VA · On-site +1

$60.75 - $83/hr

Lead DevOps Automation Engineer Arlington, Virginia, United States, Remote Flexible Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key ...

Excella

Senior DevOps Automation Engineer

Arlington, VA · On-site +1

$149K - $192K/yr

Senior DevOps Automation Engineer Arlington, Virginia, United States, Remote Flexible Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key ...

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Full Time Remote Automation Engineer information

What is the difference between Full Time Remote Automation Engineer vs Full Time Remote QA Automation Tester?

AspectFull Time Remote Automation EngineerFull Time Remote QA Automation Tester
Required CredentialsBachelor's in Computer Science, Automation tools certifications (e.g., Selenium, Jenkins)Bachelor's in Computer Science or related, QA certifications (e.g., ISTQB), automation tools knowledge
Work EnvironmentRemote, collaborative teams, development-focusedRemote, testing teams, quality assurance focus
Employer & Industry UsageTech companies, software development firms, automation rolesSoftware companies, QA departments, testing service providers

Both roles involve automation tools and remote work, but Automation Engineers focus on developing and maintaining automation frameworks, while QA Automation Testers primarily execute and validate test scripts. The roles often overlap but differ in scope and responsibilities within the software development lifecycle.

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For Full Time Remote Automation Engineer jobs in Washington, the most frequently searched job titles are:

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Cities in Washington with the most Full Time Remote Automation Engineer job openings:

Full Time Remote Automation Engineer jobs near you
Infographic showing various Full Time Remote Automation Engineer job openings in Washington as of June 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Adelphi, MD • Remote

Full-time

Re-posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply