Forward Deployed Engineer - AI/ML Data Science
Core
Lead Field Development Engineer embedding with strategic institutional partners to architect, configure, and ship production-grade AI and platform solutions for academic environments.
Role type
Senior IC machine-learning engineer (field deployment & integration)
Builds
Production AI integrations (RAG, agentic workflows), LTI middleware, data pipelines, and evaluation frameworks for MindTap, WebAssign, and Cengage Unlimited.
Domain
EdTech / Higher Education / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, JavaScript/TypeScript, SQL, LLM API integration, RAG pipelines, LTI 1.3/Advantage, Cloud platforms (AWS), Full-stack engineering
Preferred skills
EdTech domain expertise, Adaptive learning platforms, Enterprise AI governance, Open-source contributions, Cloud certifications (AWS/GCP)
Technologies
Python, JavaScript/TypeScript, SQL, AWS (Lambda, ECS/EKS, RDS, S3, API Gateway), LTI 1.3, LTI Advantage, xAPI, Caliper
Responsibilities
Embed with 3–5 strategic accounts to design institution-specific AI configurations; Write production code for integration middleware and data pipelines; Architect agentic AI workflows and automated evaluation frameworks; Mentor junior/mid-level FDEs and conduct technical reviews; Present deployment architecture and outcomes to C-suite and academic leadership.
Seniority
Senior, hands-on IC with mentorship responsibilities