AI Transformation Engineer - Production ML & Deployment

Arkham Technologies Inc.; Palo Alto, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Arkham Technologies Inc. is seeking a Forward Deployed Engineer to drive AI transformation for enterprise customers.

You will work hands-on across data science, AI architecture, and implementation, partnering with client stakeholders to deliver high-impact solutions. As projects run 1-4 implementations concurrently, you will build ML models, develop Generative AI workflows, deploy production-ready systems, and ensure governance and adoption across the organization.

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.
• Solid 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: within 2-4 weeks, help deliver an operational AI solution that solves a core business pain point
• Define data requirements and modeling strategies in collaboration with the team

Skills

Python

SQL

Time-series forecasting

Machine learning deployment

Generative AI

AI agents

Prompt engineering

Statistical modeling

Communication

Tools

Git

Job description

Arkham Technologies Inc. is seeking a Forward Deployed Engineer to drive AI transformation for enterprise customers.

You will work hands-on across data science, AI architecture, and implementation, partnering with client stakeholders to deliver high-impact solutions. As projects run 1-4 implementations concurrently, you will build ML models, develop Generative AI workflows, deploy production-ready systems, and ensure governance and adoption across the organization.