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Rpa Entry Level Jobs in Virginia (NOW HIRING)

E*Pro, Inc.

Storage Administrator

Mclean, VA · On-site

VMAX RPA VNX Netapp Data Domain TSM Backup/Restore Perform administration tasks on storage devices. Monitor replication performance. Conduct bottleneck evaluation to identify performance issue.

Leidos

Intelligence Analytics Instructor

Hampton, VA · On-site

$65K - $118K/yr

Independently deliver and maintain formal classroom and virtual instruction on tool-agnostic AI/ML concepts, Large Language Models (LLMs), Robotic Process Automation (RPA), and advanced data ...

Leidos

Intelligence Analytics Instructor

Hampton, VA

$65K - $118K/yr

Independently deliver and maintain formal classroom and virtual instruction on tool-agnostic AI/ML concepts, Large Language Models (LLMs), Robotic Process Automation (RPA), and advanced data ...

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All JobsRpa JobsRpa Entry Level JobsRpa Entry Level Jobs in Virginia

Rpa Entry Level information

See Virginia salary details

$19.9K

$51K

$121.6K

How much do rpa entry level jobs pay per year?

As of Sep 4, 2026, the average yearly pay for rpa entry level in Virginia is $50,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,038.00 and $52,030.00 per year, depending on experience, location, and employer.

What is an RPA entry level job?

An RPA (Robotic Process Automation) entry level job typically involves working with software tools to automate repetitive business processes. Entry-level RPA professionals assist in designing, developing, and testing automation workflows under supervision. They usually use platforms like UiPath, Blue Prism, or Automation Anywhere, and may also document requirements, support deployment, and troubleshoot issues. These roles are ideal for recent graduates or individuals new to RPA who have basic programming or IT skills.

What are the key skills and qualifications needed to thrive as an RPA entry level professional, and why are they important?

To thrive as an RPA Entry Level professional, you need a basic understanding of business processes, logical thinking, and a degree in computer science or a related field. Familiarity with RPA tools such as UiPath, Blue Prism, or Automation Anywhere, along with any relevant certifications, is typically required. Strong attention to detail, problem-solving abilities, and effective communication help you excel in team settings and client interactions. These skills and qualities are crucial to ensure accurate automation solutions that improve efficiency and support business objectives.

What are some common challenges faced by entry-level RPA professionals, and how can they be overcome?

Entry-level RPA professionals often encounter challenges such as understanding complex business processes, troubleshooting automation errors, and adapting to rapidly evolving RPA tools. To overcome these, it's helpful to proactively seek mentorship from experienced team members, participate in hands-on training, and stay updated on best practices within the RPA community. Collaborating closely with business analysts and IT teams can also accelerate learning and ensure successful automation project delivery.

What is the difference between Rpa Entry Level vs Rpa Developer?

AspectRpa Entry LevelRpa Developer
Required CredentialsBasic understanding of RPA tools, certifications like UiPath RPA Developer FoundationAdvanced certifications, programming skills, extensive RPA experience
Work EnvironmentSupport teams, process documentation, basic automation tasksDesigning, developing, and deploying complex automation solutions
Employer & Industry UsageEntry-level roles in various industries, including finance, healthcare, manufacturingMid to senior roles, often in IT and automation departments

Rpa Entry Level roles focus on basic automation tasks and support, requiring foundational certifications. Rpa Developers handle complex automation projects, requiring advanced skills and experience. The roles differ mainly in complexity, responsibility, and expertise level.

What are the most commonly searched types of Rpa jobs in Virginia?

The most popular types of Rpa jobs in Virginia are:

What are popular job titles related to Rpa Entry Level jobs in Virginia?

For Rpa Entry Level jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Rpa Entry Level jobs in Virginia look for?

The top searched job categories for Rpa Entry Level jobs in Virginia are:

Rpa Entry Level jobs near you
Infographic showing various Rpa Entry Level job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $50,979 per year, or $24.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Norfolk, VA • On-site

Other

Re-posted 15 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

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

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

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