Remote opportunity at
DatabricksSr. AI Engineer, AI FDE
Databricks, a data and AI company serving more than 20,000 organizations, is hiring a Senior AI Engineer for its AI FDE team, which sits within customer-facing…
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About This Role
Databricks, a data and AI company serving more than 20,000 organizations, is hiring a Senior AI Engineer for its AI FDE team, which sits within customer-facing professional services. The role is remote and open to candidates in remote locations. It includes customer visits, with travel once every four to eight weeks as needed. The AI FDE team delivers professional services engagements that help customers build and put into production new…
Job Description
Databricks, a data and AI company serving more than 20,000 organizations, is hiring a Senior AI Engineer for its AI FDE team, which sits within customer-facing professional services. The role is remote and open to candidates in remote locations. It includes customer visits, with travel once every four to eight weeks as needed.
The AI FDE team delivers professional services engagements that help customers build and put into production new AI applications. The engineer would develop GenAI solutions using recent research from Databricks, own production rollouts of GenAI applications for both consumers and internal users, and act as a trusted technical advisor across a range of domains.
The work also involves collaborating with product and engineering teams to shape priorities and the product roadmap. Speaking engagements at events like the Data + AI Summit are part of the role, which builds the engineer's profile as a thought leader inside and outside the company.
Candidates should have built GenAI applications such as retrieval-augmented generation (RAG) systems, multi-agent systems, Text2SQL tools, and fine-tuned models, using tools like HuggingFace, LangChain, and DSPy. Experience deploying production GenAI applications, including evaluation and optimization work, is required. Extensive hands-on data science experience with pandas, scikit-learn, and PyTorch is expected, along with ML systems running in production on AWS, Azure, or GCP.
A graduate degree in a quantitative field is listed, or equivalent practical experience. Hands-on work with the Databricks platform and Spark for large-scale data processing is preferred. The posting says benefits differ by region and refers to a separate benefits page. It does not state a salary.
Responsibilities
- Build GenAI solutions informed by Databricks' recent AI research for customer use cases
- Own production rollouts of consumer-facing and internal GenAI applications
- Advise customers as a trusted technical expert across varied domains
- Speak at industry events like the Data + AI Summit
- Partner with product and engineering groups to shape the roadmap
Requirements
- Experience building GenAI applications, such as RAG, multi-agent systems, Text2SQL, and fine-tuning
- Familiarity with HuggingFace, LangChain, and DSPy
- Experience running GenAI applications in production, covering evaluation and optimization
- Extensive hands-on data science experience with pandas, scikit-learn, and PyTorch
- Experience putting machine learning systems into production on AWS, Azure, or GCP
- Ability to explain technical concepts to technical and non-technical audiences
- Commitment to collaboration and continuous learning
Qualifications
- Graduate degree in a quantitative field such as computing or statistics, or equivalent practical experience
- Hands-on work with the Databricks platform and Spark (preferred)
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is the Sr. AI Engineer job remote?
Yes, the role is listed as remote, and the posting says the company is open to remote locations.
How much travel is involved?
The posting says the role may require travel to see customers once every four to eight weeks, as needed.
What experience is needed?
Candidates need hands-on GenAI application building, production deployment experience, and production machine learning on AWS, Azure, or GCP.
What benefits and pay are offered?
The posting does not state a salary. It says benefits vary by region and points to a separate benefits page.
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