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Remote Forward Deployed Engineer Jobs in Dallas, TX

Vytwo

Storage Engineer

Prosper, TX · Remote

Blue Bell, PA 100% Remote Required Skills - * 5+ years of dedicated enterprise storage engineering ... Proven experience deploying and managing Dell EMC ECS (Elastic Cloud Storage). Strong understanding ...

Gigapower

Applied AI Engineer

Dallas, TX · On-site +1

As an AI-forward organization, we encourage employees at every level to embrace emerging ... Deploy and operate AI workloads within Azure cloud environments utilizing containerized ...

Gigapower

Applied AI Engineer

Dallas, TX · Remote

As an AI-forward organization, we encourage employees at every level to embrace emerging ... Deploy and operate AI workloads within Azure cloud environments utilizing containerized ...

Motorola

Senior DevOps Engineer (US REMOTE)

Allen, TX · Remote

$140K - $170K/yr

... Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD Pipelines ... You will play a key role in building, maintaining, securing and deploying scalable cloud ...

PinnaclePartners

Support Engineer

Plano, TX · Remote

Support Engineer Location: Remote - Plano, TX Pay: Up to $124K Direct Hire Pinnacle Partners is ... Build out the recently deployed Snowflake environment, and support the migration of additional ...

Gigapower

Embedded AI Engineer - IT

Dallas, TX · On-site +1

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... As an AI-forward organization, we encourage employees at every level to embrace emerging ...

Gigapower

Embedded AI Engineer - IT

Dallas, TX · Remote

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... As an AI-forward organization, we encourage employees at every level to embrace emerging ...

Hirekeyz Inc

AI/Full Stack Engineer

Irving, TX · Remote

Irving, TX (Remote) Job Type: Contract We are rapidly expanding our team and seeking highly skilled ... Design, develop, and deploy backend infrastructure and APIs to support AI-driven applications.

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Essential Duties & Responsibilities Design and deploy autonomous AI agents using frameworks like ...

Business Centric Technology

Cloud Engineer

Dallas, TX · Remote

$120K/yr

WHAT'S IN IT FOR YOU: * Enjoy the flexibility of a remote work model (Texas-based preferred ... Architect, deploy, and maintain Azure cloud solutions and Microsoft 365 environments. * Build ...

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All JobsForward Deployed Engineer JobsRemote Forward Deployed Engineer JobsRemote Forward Deployed Engineer Jobs in Dallas, TX

Remote Forward Deployed Engineer information

See Dallas, TX salary details

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How much do remote forward deployed engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote forward deployed engineer in Dallas, TX is $55.39, according to ZipRecruiter salary data. Most workers in this role earn between $39.71 and $73.70 per hour, depending on experience, location, and employer.

How does a remote forward deployed engineer typically collaborate with client teams and internal stakeholders?

As a Remote Forward Deployed Engineer, you will regularly interact with both client teams and internal product or engineering teams. Collaboration often happens through virtual meetings, shared documentation, and project management tools. You'll be expected to translate client requirements into actionable engineering tasks, communicate technical constraints or possibilities, and coordinate deployments or troubleshooting efforts. Successful engineers in this role are proactive communicators and can bridge the gap between user needs and technical solutions, even when working across time zones.

What is a remote forward deployed engineer?

A Remote Forward Deployed Engineer is a technical professional who works remotely to help implement and customize software solutions directly for clients, often acting as a bridge between the engineering team and the customer. They typically travel (virtually or occasionally onsite) to work closely with clients, understand their needs, and ensure the successful deployment and integration of products. Their role often includes troubleshooting, coding, and providing support tailored to each client’s requirements. This position requires strong technical skills, excellent communication, and the ability to adapt solutions for diverse customer environments.

What are the key skills and qualifications needed to thrive as a remote forward deployed engineer, and why are they important?

To thrive as a Remote Forward Deployed Engineer, you need strong software engineering skills, problem-solving abilities, and a background in computer science or a related field. Experience with programming languages, cloud platforms, and deployment tools—along with familiarity with CI/CD pipelines and relevant certifications—are typically required. Exceptional communication, adaptability, and self-motivation are crucial soft skills for collaborating across distributed teams and interfacing with clients. These skills and qualities ensure successful implementation of technical solutions tailored to client needs, even in remote and dynamic environments.

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 Remote Forward Deployed Engineer jobs in Dallas, TX?

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

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

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

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

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

Remote Forward Deployed Engineer jobs near you
Infographic showing various Remote Forward Deployed Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,209 per year, or $55.4 per hour.

Lead AI Engineer, Business Operations (Hybrid or Remote)

AFL

Dallas, TX • On-site, Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 13 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer:
  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States.
The Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on - including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build work.
Responsibilities:
Key responsibilities/essential functions include:
Architecture & Technical Foundation
  • Establishes the architectural patterns, evaluation practices, and deployment standards for the team
  • Makes framework and model recommendations that set the foundation for how the team builds - evaluates orchestration frameworks, selects deployment patterns, trains and fine-tunes models, and determines where managed platforms end and custom build begins

Solution Design & Delivery
  • Translates proposed business solutions into technical plans - defines product life cycles, prioritizes the backlog, and breaks initiatives into buildable work
  • Owns solutions end-to-end: technical planning, architecture, build, deploy, and the monitoring that keeps them honest in production

Production Reliability
  • Builds the monitoring, evaluation, and regression detection systems that keep production agents reliable - including logging, performance benchmarking, and feedback loops that surface drift early

Governance & Collaboration
  • Partners with data governance to ensure solutions meet compliance, data quality, and operational standards

Personal Qualities:
  • Innovative and tech-savvy, with deep curiosity about emerging AI capabilities and how to apply them
  • Analytical and detail-oriented, with a strong engineering mindset
  • Collaborative and communicative, able to translate complex technical concepts for non-technical stakeholders
  • Self-directed and accountable, able to set technical direction and drive execution independently

Qualifications:
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 7+ years of software engineering experience with a strong full-stack foundation - backend services, API design, system integration, and data infrastructure
  • Recent hands-on experience building AI or LLM-backed systems and shipping them to production
  • Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability
  • Experience with AI development practices - model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit
  • Proficiency in Python; experience with cloud platforms
  • Experience mentoring engineers and setting technical direction across multiple initiatives
  • Strong communication skills with both technical and non-technical stakeholders

Working Conditions:
  • Environment: Remote work environment (US-based).
  • Travel: Occasional travel (domestic) as needed.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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