REMOTEFULLTIME
Sr. AI Engineer, AI FDE
Databricks
Remote · remote · Posted 4d ago
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Undisclosed2–5 yrsfulltimeRemote
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Section · 01
About this role
Job Summary
Responsibilities
Requirements
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
CSQ326R35
AI Engineer - FDE (Forward Deployed Engineer)
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.
Responsibilities
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as a trusted technical advisor to customers across a variety of domains
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
Requirements
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through AI
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
- Willing to travel once every 4-8 weeks to see customers (as needed)
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Apache SparkOperations researchsubject matter expertgoogle cloud platformDiversity and InclusionAnalyticsSANComputer ScienceData ScienceMachine Learning
Section · Company
About Databricks
Databricks
IT Services & Consulting
1001-5000
employees
2013
13 years old
Bangalore / Bengaluru, Karnataka
India
₹33.4L PA avg
Avg at Databricks
About
Databricks develops advanced data processing solutions and is recognized for creating the Apache Spark framework, facilitating distributed computing.
Industries
IT Services & ConsultingInternet
Employee ratings
10 reviews
3.2/ 5
Culture
2.2
Career growth
2.6
Work-life
2.4
Employees rate it well for
Compensation & Benefits38Skill Development35
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