> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Forward Deployed Engineer

Canonical URL: https://nextmove.md/fde/jobs/a02ce81981aede4a

CloudFactory posts a FDE role to build what the customer runs in Dallas, TX and 4 more with no pay posted. A hands-on forward deployed engineer who works with strategic enterprise clients to turn AI experiments into reliable, scalable production deployments. Read from the employer’s posting on November 8, 2026.

- [CloudFactory](https://nextmove.md/fde/companies/cloudfactory)

First seen Oct 28, 2026 · open on Workable as of Nov 8, 2026

Pay not posted Dallas, TX +4 Full-time

A hands-on forward deployed engineer who works with strategic enterprise clients to turn AI experiments into reliable, scalable production deployments.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fa02ce81981aede4a&placement=top)
- [View posting at CloudFactory](https://apply.workable.com/j/0EB373C1D6/apply)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept
3. Implementation
4. Operations

Travel **Required, amount not stated**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **2+ years** software engineering

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Dallas, TX · Boston, MA · +3 more. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Dallas, TX · Boston, MA · New York, NY · Seattle, WA · Chicago, IL

- **Employment type**: Full-time

- **Travel**: Travel required, amount not stated

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## The job description from CloudFactory

### 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

[View posting at CloudFactory](https://apply.workable.com/j/0EB373C1D6/apply)

## About CloudFactory

Combines AI software, data services, and human expertise to develop, deploy, and operate reliable AI systems.

5000+ people

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Pay not posted

- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro)
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