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Remote Forward Deployed Engineer Jobs in Frisco, TX

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 ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

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 ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Forward Deployed Engineer - TX

Dallas, TX · On-site +1

$200K - $240K/yr

As a Forward Deployed Engineer (FDE) , you are not a consultant or a support engineer-you are a technical founder in the field. You will be embedded directly within our most strategic Lighthouse ...

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice drives AI ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Lead AI Forward Engineer

Frisco, TX · Remote

$95K - $126K/yr

This role operates as a forward-deployed solution architect and engineer, partnering closely with teams to identify opportunities, design end-to-end architectures, and drive implementations to ...

Senior Product Manager

Arlington, TX · On-site +1

$140K - $180K/yr

You partner effectively across engineering, program management, and forward-deployed teams, acting ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

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Remote Forward Deployed Engineer information

See Frisco, TX salary details

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$52

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

As of Aug 18, 2026, the average hourly pay for remote forward deployed engineer in Frisco, TX is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $69.76 per hour, depending on experience, location, and employer.

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.

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 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 Frisco, TX?

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

What are popular job titles related to Remote Forward Deployed Engineer jobs in Frisco, TX?

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

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

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

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

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

Infographic showing various Remote Forward Deployed Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $109,002 per year, or $52.4 per hour.

Forward Deployed Engineer

4MindsAI Inc.

Dallas, TX • On-site, Remote

$190K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Mission 

4MINDS is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4MINDS' AI platform learns continuously from live data in real time and can be deployed on-prem or your cloud provider. 

Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4MINDS' automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG-based systems. 

Role Overview 

As a Forward Deployed Engineer (FDE), you'll operate at the intersection of engineering, AI, and live customer systems. You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training platform. 

This is a hands-on, field-facing engineering role. You'll move between writing code, diagnosing live issues, building integrations, tuning models, and translating operational insights into core product improvements. 

Reporting to the VP of Solutions Engineering, you'll make an impact for us and our customers by solving hard, messy, high-stakes problems where AI meets real operations.

Key Responsibilities 

  • Partner directly with customers, from presales through onboarding and production, to ensure the 4Minds platform delivers new models for our clients. 
  • Debug, tune, and optimize real-time LLM development pipelines for clients.  
  • Build and maintain lightweight integrations, automations, and scripts connecting customer systems (TMS, CRMs, APIs) to our AI stack. 
  • Work closely with core engineering and product teams to reproduce, isolate, and resolve field issues rapidly. 
  • Develop deployment playbooks and reusable frameworks that make future rollouts faster and more reliable. 
  • Surface insights and edge cases from customer operations to inform model tuning, UX design, and roadmap priorities. 
  • Represent engineering in the field and communicate clearly with both technical and non-technical stakeholders. 
  • Ship quickly, iterate aggressively, and own every deployment like it's your own product. 

Required Qualifications 

  • BS in Computer Science, Engineer, or related technical field 
  • 3+ years in technical customer interfacing implementation role 
  • 5+ years in software engineering 
  • Strong experience with AI/LLM pipelines and open-source models including prompting, orchestration, or model tuning.
  • Strong proficiency in Python, Node.js, or TypeScript  
  • Able to build integrations and debug live systems. 
  • Experience with real-time APIs, WebRTC, or streaming systems. 
  • Clear technical communication and ability to work directly with customer teams under time pressure. 
  • Comfort working in high-stakes, production environments where reliability and speed matter. 
  • Deep ownership mindset: you care about outcomes, not job titles. 

Preferred Qualifications 

  • MS in Computer Science, Engineer, or related technical field 
  • Expertise in working with AI/LLM pipelines including prompting, orchestration, or model tuning. 
  • 5+ years in enterprise technical implementation roles 
  • 8+ years in software engineering 
  • Expert proficiency in Python, Node.js, or TypeScript  
  • Able to build integrations and debug live systems. 
  • Previous Enterprise experience implementing new technologies 
  • Passion and Desire to work with clients to deliver impact on their businesses 

Compensation 

  • Base salary range: $190,000 - $225,000 annually 
  • Competitive equity package in venture-backed startup 
  • Performance-based bonus structure 
  • Annual merit-based salary reviews 
  • Stock 

Benefits 

  • Comprehensive medical, dental, and vision coverage (80% employer-paid) 
  • 401(k) plan 
  • Unlimited PTO policy with 15 days minimum 
  • 11 paid company holidays 
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) options. 

Professional Development 

  • Annual training and certification budget 
  • Access to online learning platforms 
  • Conference attendance opportunities 
  • Regular internal technical workshops and knowledge sharing sessions 

Work Environment 

  • Remote Position with travel to Customer Sites 50% of the time 
  • Access to local co-working space
  • High-performance workstations 
  • Modern office space in Dallas with standing desks and ergonomics equipment 
  • Monthly team events and learning sessions 
  • Collaborative in-office environment fostering innovation and teamwork 

Process 

We like to be efficient but do our due diligence. Here's what you'll expect from us: 

  1. Interview with Recruiter (30-60 minutes) 
  2. Interview with Hiring Manager (30 minutes) 
  3. Technical Interviews and Presentation (Half day)
  4. Interview with CEO (45 Minutes)

Apply Now: 

Hit the apply button and submit: 

  • Detailed Resume 
  • Git Hub profile or code samples  
  • Portfolio of relevant work 
  • Brief cover letter describing your development experience 
  • References from previous roles 

4MindsAI is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. 

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