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Entry Level Forward Deployed Engineer Jobs in Dallas, TX

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, develop, and deploy machine learning and AI models that are reliable, scalable, and ... Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.

BC Forward

Senior Data Engineer / Data Architect

Plano, TX · On-site

$77.58 - $82.58/hr

Senior Data Engineer / Data Architect Location: Plano ,TX Duration: Contract - 8 months Pay Range ... deploy, and maintain secure, resilient applications. Responsibilities: - Design, develop and ...

Motorola

Project Sales Engineer

Allen, TX

$65K - $75K/yr

  • Medical

  • Dental

  • Retirement

Deploy necessary networking equipment on customer networks. * Provide customer support for deployed ... bring forward additional value * Act as a conduit for feedback from customers and end-users to ...

DPR Construction

MLOps Engineer

Dallas, TX · On-site

Design and deploy containerized MLworkloads,partnering withInfrastructureEngineering for cluster ... DPR Construction is a forward-thinking, self-performing general contractor specializing in ...

Upbound Group, Inc.

AI Cybersecurity Engineer

Plano, TX · On-site

Role Summary We are seeking a forward-thinking AI Cybersecurity Engineer to join our Security team ... Build and deploy ML models for real-time threat detection, behavioral anomaly detection, and user ...

Upbound Group Inc.

AI Cybersecurity Engineer

Plano, TX · On-site

$120 - $140/hr

Role Summary We are seeking a forward-thinking AI Cybersecurity Engineer to join our Security team ... Build and deploy ML models for real-time threat detection, behavioral anomaly detection, and user ...

Upbound

AI Cybersecurity Engineer

Plano, TX

Role Summary We are seeking a forward-thinking AI Cybersecurity Engineer to join our Security team ... Build and deploy ML models for real-time threat detection, behavioral anomaly detection, and user ...

Upbound

AI Cybersecurity Engineer

Plano, TX

Role Summary We are seeking a forward-thinking AI Cybersecurity Engineer to join our Security team ... Build and deploy ML models for real-time threat detection, behavioral anomaly detection, and user ...

Upbound

AI Cybersecurity Engineer

Plano, TX · On-site

Role Summary We are seeking a forward-thinking AI Cybersecurity Engineer to join our Security team ... Build and deploy ML models for real-time threat detection, behavioral anomaly detection, and user ...

Texas Instruments

DFM RET Engineer

Dallas, TX · On-site

You'll develop, optimize, and deploy Optical Proximity Correction (OPC) models and Design for ... We value each and every voice, and look forward to hearing yours. Meet the people of TI * Benefits ...

Motorola Solutions, Inc.

Project Sales Engineer

Allen, TX · On-site

$65K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deploy necessary networking equipment on customer networks. * Provide customer support for deployed ... bring forward additional value * Act as a conduit for feedback from customers and end-users to ...

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Showing results 41-60

All JobsForward Deployed Engineer JobsEntry Level Forward Deployed Engineer JobsEntry Level Forward Deployed Engineer Jobs in Dallas, TX

Entry Level Forward Deployed Engineer information

See Dallas, TX salary details

$29.7K

$68.6K

$116.7K

How much do entry level forward deployed engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level forward deployed engineer in Dallas, TX is $68,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $77,700.00 per year, depending on experience, location, and employer.

How to get into an Entry Level Forward Deployed Engineer?

To become an entry-level Forward Deployed Engineer, candidates typically need a bachelor's degree in computer science, engineering, or related fields, along with strong problem-solving skills and familiarity with programming languages like Python or Java. Gaining experience through internships, coding projects, or relevant certifications such as AWS or Cisco can improve prospects. Knowledge of cloud platforms, networking, and customer-facing communication are also valuable for this role.

What is the demand for entry level forward deployed engineers?

The demand for entry level forward deployed engineers is growing due to increased reliance on technical solutions in various industries, especially in technology and software sectors. These roles often require skills in programming, problem-solving, and familiarity with deployment tools, making them sought after for companies developing customer-facing or operational systems.

What is the difference between Entry Level Forward Deployed Engineer vs Entry Level Software Engineer?

AspectEntry Level Forward Deployed EngineerEntry Level Software Engineer
Primary FocusDeploying and supporting hardware/software solutions directly at client sitesDeveloping, testing, and maintaining software applications
Work EnvironmentOn-site client locations and field settingsOffice or remote development environments
Required SkillsHardware knowledge, troubleshooting, communication skillsProgramming, software design, problem-solving
Industry UsageTechnology, defense, and enterprise solutionsTech companies, startups, software firms

While both roles require technical skills, Entry Level Forward Deployed Engineers focus on deploying and supporting solutions directly at client sites, often involving hardware and troubleshooting. Entry Level Software Engineers primarily develop and maintain software applications in office or remote settings. The roles differ mainly in work environment and technical focus, but both are entry-level positions in the tech industry.

What are the most commonly searched types of Forward Deployed Engineer jobs in Dallas, TX?

The most popular types of Forward Deployed Engineer jobs in Dallas, TX are:

What are popular job titles related to Entry Level Forward Deployed Engineer jobs in Dallas, TX?

For Entry Level Forward Deployed Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Forward Deployed Engineer jobs in Dallas, TX look for?

The top searched job categories for Entry Level Forward Deployed Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Forward Deployed Engineer jobs?

Cities near Dallas, TX with the most Entry Level Forward Deployed Engineer job openings:

Entry Level Forward Deployed Engineer jobs near you
Infographic showing various Entry Level Forward Deployed Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,615 per year, or $33 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Arlington, TX • On-site

Other

Re-posted 26 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