- Company Name
- Databricks
- Job Title
- AI Engineer - FDE (Forward Deployed Engineer)
- Job Description
-
Job Title: AI Engineer – Forward Deployed Engineer (FDE)
Role Summary:
Design, build, and deploy production‑grade Generative AI (GenAI) solutions for clients, acting as a technical advisor and service delivery lead. Work cross‑functionally with product, engineering, and subject‑matter experts to incorporate research advances, influence roadmap decisions, and demonstrate thought leadership.
Expectations:
- Deliver end‑to‑end GenAI applications (RAG, multi‑agent, Text2SQL, fine‑tuning) that meet customer business requirements.
- Own the full lifecycle of production rollouts, including performance monitoring, optimization, and continuous improvement.
- Communicate complex technical concepts to both technical and non‑technical stakeholders.
- Participate in industry conferences and internal knowledge sharing as a visible thought leader.
Key Responsibilities:
- Build and implement GenAI prototypes using frameworks such as HuggingFace, LangChain, DSPy, and fine‑tuning tools.
- Provision and manage scalable deployments on AWS, Azure, or GCP, ensuring reliability, security, and cost efficiency.
- Evaluate and integrate new GenAI research (e.g., Mosaic AI findings) into customer solutions.
- Collaborate with product and engineering teams to shape feature development and prioritize roadmap impact.
- Train and mentor team members and client staff on best practices for GenAI development and deployment.
Required Skills:
- Proven experience building GenAI applications (RAG, multi‑agent systems, Text2SQL, fine‑tuning).
- Strong knowledge of HuggingFace, LangChain, DSPy, and related toolchains.
- Expertise in deploying production‑grade ML models on cloud platforms (AWS, Azure, GCP).
- Hands‑on data science skills with pandas, scikit‑learn, PyTorch, and similar libraries.
- Excellent English communication; proficiency in French or German is a plus.
- Ability to explain technical concepts to diverse audiences.
Required Education & Certifications:
- Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or a related quantitative field (or equivalent industry‑level experience).
- Certifications in cloud ML services (e.g., AWS ML, Azure AI, GCP AI) are advantageous but not mandatory.