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Forward Deployment Engineer Jobs in Dallas, TX (NOW HIRING)

CloudFactory

Forward Deployed Engineer

Dallas, TX · On-site

... offer Forward deployed Engineering services that can advise, design, prove, develop, scale and ... AI Deployment Architecture: * Design and implement integrations between client systems and ...

Kyndryl

Deployment Technician

Dallas, TX · On-site

$17.75 - $23.50/hr

We are always moving forward - always pushing ourselves to go further in our efforts to build a ... Coordinate closely with engineers, site leads, and onsite operations teams during bring-up; provide ...

CloudFactory

Forward Deployed Engineer

Dallas, TX · On-site

... offer Forward deployed Engineering services that can advise, design, prove, develop, scale and ... AI Deployment Architecture: * Design and implement integrations between client systems and ...

CloudFactory

Forward Deployed Engineer

Dallas, TX · On-site

... offer Forward deployed Engineering services that can advise, design, prove, develop, scale and ... AI Deployment Architecture: * Design and implement integrations between client systems and ...

Kyndryl

Deployment Technician

Dallas, TX · On-site

$17.75 - $23.50/hr

We are always moving forward - always pushing ourselves to go further in our efforts to build a ... Coordinate closely with engineers, site leads, and onsite operations teams during bring-up; provide ...

Kyndryl

Deployment Technician

Dallas, TX · On-site

$17.75 - $23.50/hr

We are always moving forward - always pushing ourselves to go further in our efforts to build a ... Coordinate closely with engineers, site leads, and onsite operations teams during bring-up; provide ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

Role Overview As a Forward Deployed Engineer (FDE), you'll operate at the intersection of ... Develop deployment playbooks and reusable frameworks that make future rollouts faster and more ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

Role Overview As a Forward Deployed Engineer (FDE), you'll operate at the intersection of ... Develop deployment playbooks and reusable frameworks that make future rollouts faster and more ...

Speechify

Go-to-Market - Frisco, TX, USA

Frisco, TX · On-site

$150K - $200K/yr

Prior experience in a forward deployment or solutions engineering capacity * Multilingual or experience selling into international markets Why Speechify SIMBA * Sell a product that genuinely ...

Speechify

Go-to-Market - Dallas, TX, USA

Dallas, TX · On-site

$150K - $200K/yr

Prior experience in a forward deployment or solutions engineering capacity * Multilingual or experience selling into international markets Why Speechify SIMBA * Sell a product that genuinely ...

Speechify

Go-to-Market - Dallas, TX, USA

Dallas, TX · On-site

$150K - $200K/yr

Prior experience in a forward deployment or solutions engineering capacity * Multilingual or experience selling into international markets Why Speechify SIMBA * Sell a product that genuinely ...

Speechify

Go-to-Market - Plano, TX, USA

Plano, TX · On-site

$150K - $200K/yr

Prior experience in a forward deployment or solutions engineering capacity * Multilingual or experience selling into international markets Why Speechify SIMBA * Sell a product that genuinely ...

Speechify

Go-to-Market - Plano, TX, USA

Plano, TX · On-site

$150K - $200K/yr

Prior experience in a forward deployment or solutions engineering capacity * Multilingual or experience selling into international markets Why Speechify SIMBA * Sell a product that genuinely ...

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Showing results 21-40

All JobsForward Deployment Engineer JobsForward Deployment Engineer Jobs in Dallas, TX

Forward Deployment Engineer information

See Dallas, TX salary details

$35.3K

$108.8K

$168.9K

How much do forward deployment engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for forward deployment engineer in Dallas, TX is $108,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $137,600.00 per year, depending on experience, location, and employer.

What is a forward deployment engineer?

Forward Deployment Engineers (FDEs) are technical professionals who work directly with clients to implement, customize, and deploy software solutions. They act as a bridge between engineering teams and customers, ensuring that products are successfully integrated into the client's environment and tailored to meet their specific needs. FDEs typically handle a mix of software engineering, problem-solving, and client-facing responsibilities, often traveling to customer sites to provide on-the-ground support. Their role is essential for organizations that offer complex technical products requiring hands-on deployment and adaptation.

What are the key skills and qualifications needed to thrive as a forward deployment engineer?

To thrive as a Forward Deployment Engineer, you need strong analytical and problem-solving skills, a solid foundation in computer science or engineering, and relevant experience or a degree in these fields. Familiarity with programming languages (such as Python or Java), cloud platforms, and deployment/configuration management tools is typically required, along with knowledge of client-facing software solutions. Outstanding communication, adaptability, and teamwork skills help you understand client needs and collaborate effectively across teams. These skills ensure successful implementation and integration of complex software solutions in diverse client environments.

How does a forward deployment engineer typically collaborate with clients and internal teams during a project?

Forward Deployment Engineers often serve as a bridge between clients and internal engineering or product teams. They work closely with clients to understand their unique requirements, configure solutions, and ensure successful deployments, frequently traveling to client sites. Internally, they collaborate with engineers, product managers, and support staff to relay client feedback, troubleshoot issues, and optimize system performance. This role requires excellent communication skills and adaptability, as each project may involve different stakeholders and technical challenges.

What is the difference between Forward Deployment Engineer vs Network Engineer?

AspectForward Deployment EngineerNetwork Engineer
Required CredentialsBachelor's in CS, EE, or related; certifications like CCNA, Cisco, or cloud certificationsBachelor's in CS, EE, or related; certifications like CCNA, CompTIA Network+
Work EnvironmentOn-site deployments, fieldwork, client sites, and data centersOffice-based, network infrastructure setup, maintenance, and troubleshooting
Industry UsageTech, telecom, cloud providers, hardware vendorsIT, telecom, enterprise networks, service providers

While both roles require networking knowledge and certifications like CCNA, Forward Deployment Engineers focus on deploying and supporting hardware and systems directly at client sites, often involving fieldwork. Network Engineers primarily design, implement, and maintain network infrastructure within organizations. The roles overlap in certifications and industry usage but differ in work environment and deployment focus.

What do forward deployment engineers do?

Forward deployment engineers are responsible for deploying, maintaining, and troubleshooting hardware and software systems at client sites or in the field. They often work closely with customers to ensure systems operate effectively and may require skills in networking, scripting, and technical support. Their role involves on-site presence, rapid problem resolution, and ensuring operational readiness of deployed solutions.

What are popular job titles related to Forward Deployment Engineer jobs in Dallas, TX?

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

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

The top searched job categories for Forward Deployment Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Forward Deployment Engineer jobs?

Cities near Dallas, TX with the most Forward Deployment Engineer job openings:

Forward Deployment Engineer jobs near you
Infographic showing various Forward Deployment Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $108,842 per year, or $52.3 per hour.

Forward Deployed Engineer

CloudFactory

Dallas, TX • On-site

Full-time

Re-posted 28 days ago

Job description

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.
More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.
Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
  • Mission-Driven: We focus on creating economic and social impact.
  • People-Centric: We care deeply about our team's growth, well-being, and sense of belonging.
  • Innovative: We embrace change and find better ways to do things together.
  • Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board!
Role Summary:
Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.
You will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.
This is a hands-on engineering role with strong product and client-facing responsibilities.
Location & Travel:
  • Preferred location:
    • Dallas, TX
    • Boston, MA
    • New York, NY
    • Seattle, WA
    • Chicago, IL
  • Relocation assistance available for qualified candidates
  • Frequent travel to client sites may be required (depending on client needs)

Responsibilities:
AI Deployment Architecture:
  • Design and implement integrations between client systems and CloudFactory's platform
  • Architect scalable agentic AI & human-in-the-loop workflows
  • Define data ingestion, transformation, and feedback loops
  • Evaluate system bottlenecks (latency, quality, throughput)

Product Readiness & Scale:
  • Translate proof-of-concept AI systems into scalable production workflows
  • Identify operational risks before deployment
  • Partner with Delivery teams to ensure execution feasibility
  • Improve reliability and reduce manual intervention

Hands-on Engineering:
  • Build APIs, connectors, automation scripts, and data pipelines
  • Debug integration issues in client environments
  • Contribute to internal platform enhancements

Field Product Intelligence:
  • Surface recurring patterns from client deployments
  • Distinguish between custom solutions and reusable features
  • Influence roadmap priorities with evidence from the field

Technical Leadership:
  • Lead technical discovery sessions
  • Support pre-sales validation
  • Act as trusted advisor to enterprise engineering teams

Requirements
Engineering depth:
  • 2+ years software engineering experience
  • Strong proficiency in Python, Go
  • Proficiency with Claude and all relevant AI tools
  • Experience with cloud infrastructure (AWS/GCP/Azure)
  • Experience building APIs and working with distributed systems

Systems thinking:
  • Experience designing data pipelines or ML infrastructure
  • Ability to evaluate end-to-end workflow performance
  • Familiarity with AI/ML lifecycle (training → inference → evaluation → feedback)

Product judgement:
  • Ability to differentiate scalable feature opportunities from custom requests
  • Strong prioritization instincts

Communication:
  • Ability to communicate with C-level and deeply technical stakeholders
  • Comfortable running technical workshops
  • Able to translate ambiguity into architecture

Apply