Senior Forward Deployed Engineer
About Arkham:
Arkham is a Data & AI platform that helps large enterprises:
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Unify fragmented systems and data
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Build a single source of trusted operational metrics
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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:
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Define high-leverage AI opportunities
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Architect robust ML and GenAI solutions
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Deploy production-ready systems
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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
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Architect and deploy forecasting, optimization, clustering, and anomaly detection models, etc.
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Design and productionize Generative AI workflows
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Implement AI Agents that automate analysis and operational decisions
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Establish best practices for model monitoring, retraining, and governance
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Own the first "Aha" moment: within 2-4 weeks, deliver a fully operational AI solution that solves a core business pain point
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Define data requirements and modeling strategies
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Act as a strategic advisor, translating AI capabilities into P&L impact
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Lead client adoption and enablement, and mentor junior Forward Deployed Engineers
What We Require
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5+ years of hands-on Data Science experience
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Proven track record delivering production-grade ML systems
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Experience in client-facing or stakeholder-intensive environments
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Advanced proficiency in Python and SQL
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Strong experience with forecasting and time-series models
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Experience with supervised and unsupervised ML
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Hands-on experience with Generative AI and prompt engineering
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Familiarity with AI agents and LLM-based workflows
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Proficiency with Git and collaborative development workflows
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Strong understanding of statistical modeling, optimization techniques, and model evaluation
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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.
