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Forward Deployed Ai Engineer Jobs in Texas (NOW HIRING)

Senior Forward Deployed AI Engineer

Houston, TX · On-site

$97K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Senior Forward Deployed AI Engineer is a hands-on engineering role responsible for rapidly delivering AI-driven solutions that improve ARCHER's operations across core platforms and workflows.

Senior Forward Deployed AI Engineer

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking a Senior Forward Deployed AI Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments.

Senior Forward Deployed AI Engineer

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking a Senior Forward Deployed AI Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments.

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site +1

$121K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Forward-Deployed Engineer, AI GTM to join our team in Plano, Texas (US-TX), United States (US). Forward-Deployed Engineer (FDE) - Manager NTT DATA is a trusted global ...

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site

$121K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Forward-Deployed Engineer, AI GTM to join our team in Plano, Texas (US-TX), United States (US). Forward-Deployed Engineer (FDE) - Manager NTT DATA is a trusted global ...

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site +1

$121K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Forward-Deployed Engineer, AI GTM to join our team in Plano, Texas (US-TX), United States (US). Forward-Deployed Engineer (FDE) - Manager NTT DATA is a trusted global ...

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site

$121K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Forward-Deployed Engineer, AI GTM to join our team in Plano, Texas (US-TX), United States (US). Forward-Deployed Engineer (FDE) - Manager NTT DATA is a trusted global ...

New

Forward Deployed Engineer

Houston, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... on Forward Deployed AI Engineer to join our global AI team. This is a hybrid role across ... As Vitol's AI portfolio grows, you will help shape what gets built, in what order, and make sure ...

New

Forward Deployed Engineer

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... on Forward Deployed AI Engineer to join our global AI team. This is a hybrid role across ... As Vitol's AI portfolio grows, you will help shape what gets built, in what order, and make sure ...

New

Forward Deployed Engineers (FDEs) work alongside our clients, embedding with their teams to tackle ... You won't just design solutions - you'll deploy AI systems in production, applying large language ...

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Showing results 1-20

Forward Deployed Ai Engineer information

See Texas salary details

$23

$49

$71

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

As of Aug 16, 2026, the average hourly pay for forward deployed ai engineer in Texas is $49.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.29 and $57.98 per hour, depending on experience, location, and employer.

What job categories do people searching Forward Deployed Ai Engineer jobs in Texas look for?

The top searched job categories for Forward Deployed Ai Engineer jobs in Texas are:

What cities in Texas are hiring for Forward Deployed Ai Engineer jobs?

Cities in Texas with the most Forward Deployed Ai Engineer job openings:

Infographic showing various Forward Deployed Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $103,928 per year, or $50 per hour.

Forward Deployed AI Engineer

Everest Technologies

Dallas, TX • On-site

Other

Posted 5 days ago


Job description

As a Forward Deployed AI Engineer, you will sit at the intersection of AI engineering, product strategy, and client delivery. Working closely with enterprise partners and clients, you will own the end-to-end strategy, architecture, and deployment of production-grade Generative AI workflows to address high-stakes real-world challenges.

This role operates much like a hands-on AI startup technical leader—taking concepts from problem decomposition and prototyping all the way to robust, scalable field deployment.


Core Responsibilities
  • Solution Architecture & Delivery: Build, optimize, and deploy end-to-end LLM workflows, data processing pipelines, and advanced analytics tools into production.

  • Client & Business Strategy: Partner directly with technical and non-technical stakeholders to translate complex operational challenges into actionable AI implementations.

  • Product Feedback Loop: Capture field insights and user feedback to inform and refine internal core AI product platforms and tooling.

  • Iterative Problem Solving: Work in agile, cross-functional teams to rapidly prototype, validate, and scale AI solutions in dynamic client environments.


Key Qualifications
  • Gen AI & LLM Experience: Proven track record of building and deploying solutions utilizing Large Language Models (LLMs) and modern Generative AI frameworks.

  • Machine Learning Fundamentals: Solid grounding in ML core concepts, including evaluation methodologies, model training/fine-tuning, and problem decomposition.

  • Software Engineering Proficiency: Strong coding skills in modern programming languages (e.g., Python, TypeScript/JavaScript, Java, or C++).

  • Engineering Background: Bachelor’s or Master’s degree (or equivalent practical experience) in Computer Science, Software Engineering, Mathematics, Physics, Machine Learning, or a related technical field.

  • Business & Communication Skills: Ability to solve business-oriented problems rather than academic benchmarks, with strong communication skills for client-facing collaboration.

  • Willingness to Travel: Ability and willingness to travel to client sites as needed (up to 25%).