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Virtual Automation Engineer Jobs in Dallas, TX (NOW HIRING)

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert Location: Dallas, TX (Day1 ... automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines ...

Lancesoft

VMWARE Systems Engineer

Dallas, TX · On-site

$58 - $60/hr

Configure and manage virtual networks, storage, and other virtualization components * Installation ... Develop and maintain automation scripts for VMware vSphere environment * vCenter integration with ...

Judge Group, Inc.

Cloud Engineer III

Arlington, TX · On-site

$80 - $82/hr

... automation and configuration management using Puppet, Chef, Ansible, Jenkins, Azure DevOps or similar. Experience with one or more of the following: Azure Eventhub, Azure Virtual Machines, Azure ...

Resource Innovations

Energy Engineer

Dallas, TX · Remote

Conduct RCx and Virtual Cx projects by analyzing building automation system data, interval meter ... Develop and review engineering calculations to quantify energy and cost savings using spreadsheets ...

Resource Innovations

Energy Engineer

Dallas, TX · On-site +1

Conduct RCx and Virtual Cx projects by analyzing building automation system data, interval meter ... Develop and review engineering calculations to quantify energy and cost savings using spreadsheets ...

INA Solution Inc

Cloud Architect

Dallas, TX · On-site

Experience with Terraform, Azure DevOps, and automation of infrastructure provisioning. * Strong understanding of Zero Trust principles, network security groups, VNets, network virtual appliances ...

Elevance Health

Engineer Senior

Grand Prairie, TX · On-site

$98K - $135K/yr

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... Determine areas where automation will provide value; implement and ensure success of automation.

Procom Consultants Group

Exchange Engineer

Plano, TX · On-site

... automation Ability to deploy virtual servers and drive virtual configurations using VMware ... Engineering, Information Management Systems or a related discipline Exchange Engineer Start Date ...

Everpure

Software Engineer - DDI Solution

Dallas, TX

Enable Self-Service Infrastructure Automation: Develop robust APIs and workflow orchestrations that ... Establish automated, code-driven synchronization between physical and virtual network assets and ...

Stefanini

VMware Engineer

Dallas, TX · On-site

$51.75 - $64.50/hr

... automation scripts for VMware vSphere environmentGood problem-solving, communication and ... VMWare Certified ProfessionalExperience in other virtualization technologies - Kernel-based virtual ...

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All JobsAutomation Engineer JobsVirtual Automation Engineer JobsVirtual Automation Engineer Jobs in Dallas, TX

Virtual Automation Engineer information

See Dallas, TX salary details

$36.6K

$106K

$161.2K

How much do virtual automation engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for virtual automation engineer in Dallas, TX is $105,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $122,200.00 per year, depending on experience, location, and employer.

How does a virtual automation engineer typically collaborate with cross-functional teams while working remotely?

As a Virtual Automation Engineer, effective collaboration with cross-functional teams—such as software developers, QA analysts, and IT operations—is essential. Most communication happens through digital channels like video calls, chat platforms, and project management tools. You may participate in daily stand-ups, sprint planning meetings, and code reviews to align on automation goals and troubleshoot issues in real-time. Establishing clear documentation and proactively sharing updates helps ensure everyone stays informed and projects move forward smoothly in a remote environment.

What are the key skills and qualifications needed to thrive as a virtual automation engineer, and why are they important?

To succeed as a Virtual Automation Engineer, you need strong expertise in programming, process automation, and a solid understanding of computer networks, often backed by a degree in computer science or engineering. Familiarity with automation tools like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications such as Certified RPA Developer, are highly valuable. Outstanding problem-solving skills, attention to detail, and effective communication set exceptional candidates apart. These skills and qualifications are critical for designing, implementing, and maintaining efficient automated solutions that optimize digital workflows and enhance productivity.

What is a virtual automation engineer?

A Virtual Automation Engineer is a professional who designs, develops, and maintains automated systems and processes in a virtual or cloud-based environment. They use software tools and scripting to automate repetitive tasks, workflows, and business operations, often working with technologies like robotic process automation (RPA), cloud platforms, and virtual machines. Their goal is to improve efficiency, reduce manual effort, and ensure the reliability of digital processes across an organization. Virtual Automation Engineers often collaborate with IT, development, and operations teams to integrate automation solutions that align with business objectives.

What is the difference between Virtual Automation Engineer vs Automation Technician?

AspectVirtual Automation EngineerAutomation Technician
CredentialsBachelor's in Engineering or related field, certifications like PLC or SCADATechnical diploma or associate degree, certifications in automation systems
Work EnvironmentRemote or hybrid, project-based, software-focusedOn-site, industrial settings, hands-on equipment
Industry UsageManufacturing, software development, industrial automationManufacturing plants, maintenance, troubleshooting

The Virtual Automation Engineer primarily designs and develops automation solutions remotely, focusing on software and system integration. In contrast, the Automation Technician works directly on-site, maintaining and troubleshooting automation hardware. Both roles require technical knowledge, but their work environments and daily tasks differ significantly.

What are the most commonly searched types of Automation Engineer jobs in Dallas, TX? The most popular types of Automation Engineer jobs in Dallas, TX are:
What are popular job titles related to Virtual Automation Engineer jobs in Dallas, TX? For Virtual Automation Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Virtual Automation Engineer jobs in Dallas, TX look for? The top searched job categories for Virtual Automation Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Virtual Automation Engineer jobs? Cities near Dallas, TX with the most Virtual Automation Engineer job openings:
Virtual Automation Engineer jobs near you

Google Cloud ML Engineer

MSR Cosmos

Dallas, TX • On-site

$55.25 - $73.75/hr

Contractor

Re-posted 25 days ago

Job description

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location: Dallas, TX (Day1 Onsite)

Duration: Long Term

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.

Key Responsibilities

  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Required Qualifications:

  • 6+ years in software development (4+ in NLP/NLU for chat).
  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
  • Proficiency in GCP services and cloud-native architectures.
  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Master’s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
  • Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
  • Knowledge of security and compliance in chat AI.

Soft Skills:

  • Excellent communication and collaboration.
  • Strong ownership and end-to-end project delivery.
  • Leadership in cross-functional environments.
  • Team Leading and Management.

Checkpoint for quick help

Capability Area                                    Key Skills/Tools

Conversational AI Design                       Vertex AI, Dialogflow CX/ES, LLMs, RAG

NLP/ML/GenAI                                      Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)

GCP Engineering                                   CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run

MLOps & Automation                             Vertex AI Pipelines, Docker, Kubernetes, CI/CD

API Development & Integration               Python, RESTful APIs, backend integration