Forward Deployed Engineer (FDE) Intern (8-12 month intern)

***Get started on an exciting career at Element!*** --------------------------------------------------- Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team. *Build and deploy practical AI solutions from business problem to working pilot.* **THE OPPORTUNITY** The AI Platform Engineering team brings artificial intelligence solutions directly to the business teams it serves. As a Forward Deployed Engineer (FDE) Intern, you will join discovery conversations, learn how operational workflows work, and help design, build, and deploy AI agents, tools, and intelligent workflows on Element's enterprise agentic AI platform. Working alongside senior engineers, you will contribute scoped solutions from prototype through pilot, translate business needs into technical designs, and bring field feedback back to the platform team. You will receive structured mentorship, clearly scoped ownership, and regular feedback while gaining hands-on exposure to production AI delivery. **WHAT YOU WILL OWN** * Build and deploy AI agents, tools, and intelligent workflows on Element's agentic AI platform for scoped business use cases, with guidance from senior engineers. * Integrate agents with enterprise data sources, internal APIs, and business systems using Python and/or TypeScript within platform governance, security, and permission boundaries. * Apply retrieval-augmented generation (RAG), tool and function calling, and multi-step orchestration patterns using established platform patterns and templates. * Join discovery sessions with internal business teams, document workflows and pain points, and help translate needs into use-case specifications, agent designs, and acceptance criteria. * Support demos and pilot rollouts, gather user feedback, track adoption and outcome metrics, and create lightweight enablement materials such as quick-start guides, demos, and FAQs. * Write evaluation cases and test datasets, use observability and tracing tools to investigate failures, and contribute to guardrails, fallbacks, error handling, documentation, and runbooks. **YOU SHOULD CONSIDER THIS ROLE IF:** You are curious, comfortable with ambiguity, and eager to move between coding and collaboration with business users. * You are currently pursuing a bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field, with at least one term of study remaining or graduating within the internship window. * You have hands-on experience through academic projects, co-ops, internships, hackathons, or personal projects building software that integrates large language models, machine learning models, or AI services. * You have working proficiency in Python and/or TypeScript and are comfortable with REST or Gr