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Remote Forward Deployed Engineer Jobs in Houston, TX

Crowe LLP

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/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 ...

NobleAI

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

... forward deployed engineering or solutions-focused marketing. Minimum 2 years of technical ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

... forward deployed engineering or solutions-focused marketing. Minimum 2 years of technical ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

... forward deployed engineering or solutions-focused marketing. Minimum 2 years of technical ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Design, develop, and deploy Decision Intelligence & AI-enabled products. * Work in Agile teams with ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid ... Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid ... Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid ... Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to ...

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

As of Aug 17, 2026, the average hourly pay for remote forward deployed engineer in Houston, TX is $53.47, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $71.15 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 Houston, TX?

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

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

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Remote Forward Deployed Engineer jobs near you

Senior Field Engineer (Pre-Sales/Forward Deployed)

Cognite - AI for Industry

Houston, TX • On-site, Remote

Full-time

Posted 13 days ago

Job description

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.


How you'll demonstrate Ownership
  • Client Engagement & Moving Strategy to Reality: Partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements. You will move clients from high-level strategy to live, functioning versions of Cognite's solutions through Fast AI Prototyping via Cognite Atlas AI™ and Cognite Data Fusion®.
  • Agentic Solution Development: Lead the design and implementation of first-of-their-kind industrial agents. You will leverage the Atlas AI workbench to automate complex industrial workflows, ensuring solutions are technically feasible, scalable, and grounded in the contextualized data foundation of our Industrial Knowledge Graph.
  • Technical Representation & Use Case Design: Lead use case workshops and briefings, translating functional and non-functional requirements into deliverable high-level use cases. You will build executive confidence by delivering client-focused demos and reference architectures that prove the ROI of Industrial AI.
  • Product Innovation & Field Leadership: Act as the critical bridge between the field and Cognite's Product organization. Translate "field friction" and deployment learnings into actionable product requirements and scalable best practices that strengthen Cognite's position as the leader in Industrial DataOps.
The Impact you bring to Cognite
  • Industrial Architecture Expertise: Ability to design scalable architectures that unify siloed IT/OT/ET data into a single source of truth using Cognite Data Fusion®.
  • Agentic AI Proficiency: Demonstrated experience building with LLMs (Gemini, Claude, GPT-4) and a deep understanding of the Agentic AI landscape to create trusted, mission-critical industrial agents via Cognite Atlas AI™.
  • Full-Stack Solution Engineering: Ability to orchestrate and build end-to-end prototypes—integrating GenAI components, CDF data models, and legacy customer systems—using scalable software practices and open-source AI frameworks.
  • Technical Evangelism & Strategic Influence: The ability to distill complex technical AI solutions into compelling, value-driven narratives. You can pivot seamlessly between deep architectural sessions with engineers and strategy briefings with C-level executives.
Required Qualifications
  • 3+ years in forward deployed engineering/pre-sales engineering roles ideally in enterprise SaaS, cloud platforms, or industrial software companies.
  • Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
  • A strong foundation in Python and a deep understanding of the GenAI landscape (embeddings, RAG, and prompt chaining).
  • Excellent problem-solving, analytical, and communication skills.
  • Ability and interest to travel up to 50% as needed to be "on the ground" where the impact happens.

Preferred Experience

  • Education or experience in the industrial space (e.g., Petroleum, Chemical, Mechanical, or Control System Engineering).
  • Previous customer facing or sales experience.
  • You've worked with "messy" real-world variables from the Industries we work in (Energy, Oil and Gas, Chemicals, Life Sciences, Discrete) and understand, for example, why data quality in a refinery is harder than data quality in a web app.
  • You are excited to bridge the gap between traditional heavy industry and the future of Autonomous Operations via Cognite Data Fusion® and Agentic AI.
A snapshot of our many perks and benefits as a Cogniter
  • Competitive compensation
  • 401(k) with employer matching
  • Competitive health, dental, vision & disability coverages for employees and all dependents
  • Unlimited PTO
  • Paid Parental Leave Program
  • Employee Referral Program
Learn more about us
  • Impact 2025
  • Cognite's Industrial AI: Moonshot
  • We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.