> 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/fa3df20a38255419

Arkham Technologies Inc. posts a FDE role to build what the customer runs in Palo Alto, CA with no pay posted. The Forward Deployed Engineer delivers and expands production ML, GenAI, and agent use cases for enterprise customers after their data platform is live. Read from the employer’s posting on November 8, 2026.

- [Arkham Technologies Inc.](https://nextmove.md/fde/companies/arkham-technologies-inc)

First seen Oct 24, 2026 · open on Workable as of Nov 8, 2026

Pay not posted Palo Alto, CA

The Forward Deployed Engineer delivers and expands production ML, GenAI, and agent use cases for enterprise customers after their data platform is live.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Ffa3df20a38255419&placement=top)
- [View posting at Arkham Technologies Inc.](https://apply.workable.com/j/729F2176F9/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

Mid-level FDE postings, 106 postings: the middle 50% of posted pay is $123K to $162K, median $149K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Mid

- **Role**: Individual contributor

### What they ask for

Experience

- **2+ years** hands-on Data Science experience (stated requirement: 2–3 years)
- **3+ years** hands-on Data Science experience (stated requirement: 2–3 years)

Background

- **Implementation and data engineering**

### Do you meet what the posting states?

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

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

The job is in Palo Alto, CA. Could you work there?

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**: Palo Alto, CA

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## The job description from Arkham Technologies Inc.

### Description

### Forward Deployed Engineer

### About Arkham

Arkham is a Data & AI platform that helps large enterprises:

- Unify fragmented systems and data
- Build a single source of trusted operational metrics
- Solve complex challenges with AI tailored to their operations

Teams at Circle K and Kimberly-Clark partner with us to deploy AI-powered solutions for sell-out forecasting, pricing and promo analysis, and automated order assignment. With Arkham, they achieve high-impact results fast, creating a strong foundation for long-term AI transformation.

### About the Role

As a **Forward Deployed Engineer**, you help drive the AI transformation journey for our customers. You work hands-on across data science, AI architecture, and implementation, partnering closely with client stakeholders to deliver high-impact solutions.

Once a customer's Data Platform is live in Arkham, you help deliver and expand AI use cases. You partner with BI, Finance, Operations, and business stakeholders to:

- Identify high-leverage AI opportunities
- Build robust ML and GenAI solutions
- Deploy production-ready systems
- Support adoption across the client organization

You will typically contribute to 1-4 implementations simultaneously, working alongside senior team members.

### What You'll Work On

- Build and deploy ML models (like forecasting, optimization, clustering, and anomaly detection models)
- Develop Generative AI workflows
- Implement AI Agents that automate analysis and operational decisions
- Follow best practices for model monitoring, retraining, and governance
- Contribute to the first "Aha" moment: within 2-4 weeks, help deliver an operational AI solution that solves a core business pain point
- Define data requirements and modeling strategies in collaboration with the team

### What We Require

- 2-3 years of hands-on Data Science experience
- Experience delivering ML systems into production
- Some exposure to client-facing or stakeholder-intensive environments
- Solid proficiency in Python and SQL
- Experience with forecasting and time-series models
- Experience with supervised and unsupervised ML
- Familiarity with Generative AI and prompt engineering
- Familiarity with AI agents and LLM-based workflows
- Proficiency with Git and collaborative development workflows
- Good understanding of statistical modeling and model evaluation
- Strong communication and collaboration skills

### Why This Role Is Different

You don't just build models, you help drive transformation. You work directly with ambitious teams solving meaningful problems, with real ownership and room to grow.

[View posting at Arkham Technologies Inc.](https://apply.workable.com/j/729F2176F9/apply)

## About Arkham Technologies Inc.

Arkham builds operational AI software that unifies enterprise data, trains models on company operations, and deploys agents to support or execute workflows.

10–50 people

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- [Compare mid FDE salary ranges](https://nextmove.md/fde/salary/mid-level)
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