# Forward Deployed Engineer

> Arkham Technologies · Mexico City, Mexico (Hybrid) · — · Posted 2026-07-20

**Workplace:** hybrid

## 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.

## Apply

[Apply at Arkham Technologies](https://apply.workable.com/arkham-technologies/j/852BD150EE/apply)

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