Forward Deployed Engineer

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.

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.

• 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

• 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

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.