About Databricks
Empowering data teams with unified analytics
Key Highlights
- Headquartered in San Francisco, CA
- Valuation of $43 billion with $3.5 billion raised
- Serves over 7,000 customers including Comcast and Shell
- Utilizes Apache Spark for big data processing
Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...
🎁 Benefits
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
🌟 Culture
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...
Overview
Databricks is hiring an AI Engineer - FDE to deliver professional services engagements and help customers build AI applications. You'll work with GenAI, LLMOps, and collaborate cross-functionally. This role welcomes applicants at all levels.
Job Description
Who you are
You are a skilled AI Engineer with experience in building and deploying AI applications. You thrive in customer-facing roles and enjoy collaborating with cross-functional teams to drive strategic initiatives. Your curiosity about the latest trends in GenAI and ML fuels your passion for innovation.
You have a strong background in AI technologies and are comfortable serving as a trusted technical advisor to customers. Your ability to present complex ideas clearly at conferences and internal meetings showcases your thought leadership in the field.
What you'll do
As an AI Engineer - FDE at Databricks, you will develop cutting-edge GenAI solutions that leverage the latest techniques from our Mosaic AI research. You will own the production rollouts of both consumer and internally facing GenAI applications, ensuring they meet customer needs effectively.
You will collaborate closely with product and engineering teams to influence priorities and shape the product roadmap. Your role will involve engaging with customers to understand their challenges and provide tailored AI solutions that drive their success.
What we offer
We offer a dynamic work environment where you can grow your skills and make a significant impact in the AI space. You will have the opportunity to work with a talented team and contribute to innovative projects that shape the future of AI applications. We encourage you to apply even if your experience doesn't match every requirement.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Databricks.
Similar Jobs You Might Like
Based on your interests and this role
Ai Engineer
Databricks is hiring an AI Engineer to join their Forward Deployed Engineering team. You'll develop cutting-edge GenAI solutions and serve as a trusted technical advisor to customers. This role requires experience in building GenAI applications and expertise in deploying production-grade solutions.
Ai Engineer
Databricks is hiring an AI Engineer - FDE to deliver professional services engagements and help customers build AI applications. You'll work with GenAI, LLMOps, and collaborate cross-functionally with engineering and product teams. This role welcomes remote applicants.
Ai Engineer
Databricks is hiring an AI Engineer - FDE to deliver professional services engagements and help customers build AI applications. You'll work with GenAI, LLMOps, and collaborate with cross-functional teams. This role welcomes applicants at all levels.
Ai Engineer
Databricks is hiring an AI Engineer to join their Forward Deployed Engineering team, focusing on developing and deploying cutting-edge GenAI applications. You'll work with tools like Hugging Face and LangChain, requiring experience in building GenAI solutions.
Ai Engineer
Databricks is hiring an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted technical advisor to customers. You'll work with tools like Hugging Face and LangChain to build and productionize AI applications. This position requires experience in deploying production-grade GenAI applications.