Senior Forward Deployed Engineer
- Location Mexico City, Mexico City, Mexico
- Seniority senior
- Posted 2026-07-21
Original posting ↗ You apply on the company site — we never collect applications.
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role details
Leads AI transformation for large enterprises, delivering and expanding AI use cases, and partnering with stakeholders to define high-leverage AI opportunities.
Summary generated by AI from the original posting.
Hard requirements to check first
- Clearance：not mentioned in the posting
- Work auth：not mentioned in the posting
- Travel：customer-facing; travel not stated
Skills
PythonSQLPrompt EngineeringAgentsMachine LearningGenerative AIAI AgentsLLM-based workflowsGit
Excerpt from the original posting
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 unders…
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