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.