Senior Forward Deployed Engineer

Description

Senior 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 Senior Forward Deployed Engineer, you lead the AI transformation journey for our most strategic customers. This is not just a modeling role. You operate at the intersection of AI architecture, executive advisory, and high-stakes implementation.

Once a customer's Data Platform is live in Arkham, you take ownership of delivering and expanding high-impact AI use cases. You partner directly with BI, Finance, Operations, and executive stakeholders to:

Define high-leverage AI opportunities

Architect robust ML and GenAI solutions

Deploy production-ready systems

Drive executive alignment and long-term adoption

You will typically manage 1-6 implementations simultaneously, serving as the senior AI lead and trusted advisor.

What You'll Work On

Architect and deploy forecasting, optimization, clustering, and anomaly detection models, etc.

Design and productionize Generative AI workflows

Implement AI Agents that automate analysis and operational decisions

Establish best practices for model monitoring, retraining, and governance

Own the first \"Aha\" moment: within 2-4 weeks, deliver a fully operational AI solution that solves a core business pain point

Define data requirements and modeling strategies

Act as a strategic advisor, translating AI capabilities into P&L impact

Lead client adoption and enablement, and mentor junior Forward Deployed Engineers

What We Require

5+ years of hands-on Data Science experience

Proven track record delivering production-grade ML systems

Experience in client-facing or stakeholder-intensive environments

Advanced proficiency in Python and SQL

Strong experience with forecasting and time-series models

Experience with supervised and unsupervised ML

Hands-on experience with Generative AI and prompt engineering

Familiarity with AI agents and LLM-based workflows

Proficiency with Git and collaborative development workflows

Strong understanding of statistical modeling, optimization techniques, and model evaluation

Strong stakeholder management skills and executive-level communication

Why This Role Is Different

You don't just build models, you drive transformation. You don't just deploy solutions, you influence strategy. This is a senior role with real ownership, real visibility, and real impact.