AI Solutions Engineer — Field Deployment

HybridPalo Alto, California, United States; Palo Alto (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Arkham is seeking a Forward Deployed Engineer in Palo Alto to drive the AI transformation journey for clients. You will work hands-on across data science, AI architecture, and implementation, partnering with client stakeholders to deliver high-impact AI solutions.

You will typically contribute to 1-4 implementations simultaneously, collaborating with senior team members to deliver production-ready ML systems and GenAI workflows for real business pain points.

Qualifications

• 2-3 years of hands-on Data Science experience.
• Experience delivering ML systems into production.
• Some exposure to client-facing or stakeholder-intensive environments.
• 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.

Responsibilities

• 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: deliver an operational AI solution within 2-4 weeks.
• Define data requirements and modeling strategies in collaboration with the team.

Skills

Python

SQL

Forecasting

Time-series

Generative AI

AI agents

Git

Statistical modeling

Communication

Collaboration

Tools

Git

Job description

Arkham is seeking a Forward Deployed Engineer in Palo Alto to drive the AI transformation journey for clients. You will work hands-on across data science, AI architecture, and implementation, partnering with client stakeholders to deliver high-impact AI solutions.

You will typically contribute to 1-4 implementations simultaneously, collaborating with senior team members to deliver production-ready ML systems and GenAI workflows for real business pain points.