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.