AI Engineer, GenAI Solutions

New

Skills

AWS Azure Data Science Engineer Gcp Genai LangChain Pandas Pytorch

Join Databricks as an AI Engineer on the AI Forward Deployed Engineering (AI FDE) team, a specialized customer-facing group focused on building and deploying first-of-its-kind Generative AI (GenAI) applications. As a remote team member, you will collaborate with cross-functional experts, engage directly with customers, and leverage cutting-edge AI research to deliver impactful solutions. This is a unique opportunity for professionals passionate about GenAI, LLMOps, and machine learning to make a tangible difference in diverse industries while influencing product strategy and sharing expertise at industry conferences.

Key Responsibilities
  • Develop and productionize advanced GenAI solutions using state-of-the-art techniques and research.
  • Own and manage the rollout of consumer-facing and internal GenAI applications.
  • Act as a trusted technical advisor for customers across multiple domains.
  • Collaborate with product and engineering teams to shape product roadmaps and priorities.
  • Represent Databricks as a thought leader at conferences and industry events.
Required Skills & Qualifications
  • 5+ years of relevant experience as a Data Scientist, ideally in consulting roles.
  • Proven expertise in deploying and optimizing production-grade GenAI applications (e.g., RAG, multi-agent systems, Text2SQL, fine-tuning).
  • Hands-on experience with tools such as HuggingFace, LangChain, DSPy, pandas, scikit-learn, and PyTorch.
  • Experience building machine learning solutions on cloud platforms (AWS, Azure, GCP).
  • Graduate degree in a quantitative field or equivalent practical experience.
  • Strong communication skills for both technical and non-technical audiences.
  • Passion for collaboration, continuous learning, and delivering business value through AI.
  • [Preferred] Experience with Databricks Intelligence Platform and Apache Spark™ for large-scale data processing.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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