Job Description
Senior GenAI Data Scientist
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New York
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This is an opportunity to work on enterprise-scale GenAI initiatives, helping organizations move AI solutions from proof of concept into production. You'll work across a range of customer engagements, building and deploying agentic AI applications while leveraging the latest capabilities within the Databricks ecosystem, including Genie AI and MLflow.
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The Role and Deliverables
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- Design, build, and deploy production GenAI solutions, including RAG systems, agentic applications, and natural language interfaces over enterprise data.
- Lead customers through the full solution lifecycle, from discovery and proof of concept through production deployment on Databricks.
- Develop and operationalize machine learning and LLM workloads using MLflow, model serving, monitoring, and CI/CD best practices.
- Build evaluation frameworks, guardrails, and monitoring processes to improve quality, reliability, safety, and performance.
- Serve as a technical advisor on AI architecture, model selection, evaluation approaches, and responsible AI practices.
- Partner with customer, architecture, and delivery teams to successfully implement and scale AI solutions, including projects leveraging Genie AI and agentic workflows.
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Your Skills & Experience
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- Strong experience building and deploying production GenAI, LLM, or machine learning applications.
- Hands-on expertise with Databricks for AI and machine learning, including MLflow, Unity Catalog, Mosaic AI, and related platform capabilities.
- Experience developing RAG, agent-based, or tool-using AI systems for real-world business applications.
- Knowledge of LLM evaluation, observability, monitoring, and AI safety practices.
- Strong Python development skills with experience across modern machine learning frameworks and tooling.
- Experience deploying AI workloads in cloud environments and managing production performance, reliability, and scalability.
- Ability to engage directly with stakeholders, lead technical discussions, and translate business objectives into effective AI solutions.
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