AI Databricks Lead

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Early Applicant

Job Description

Strong Python engineering background; comfortable building production-quality code.
Hands-on experience with Databricks (workflows, Delta Live Tables, Unity Catalog, MLflow, Model Serving).
Experience building AI chatbots, RAG pipelines, vector search, embedding stores, and private LLM deployments.
Understanding of architectural patterns for secure deployment in financial institutions.
Ability to independently take vague business problems and convert them into concrete AI products.
Comfortable demoing your work to senior stakeholders.
Build AI-driven internal applications using Databricks (Python, MLflow, Unity Catalog, Model Serving).
Design, fine-tune, and deploy custom chatbots trained on private enterprise data (vector search, retrieval augmentation, LLM orchestration).
Integrate Databricks models with internal web apps, APIs, and tools already used inside the bank.
Build pipelines that handle ingestion, cleaning, indexing, and securing sensitive datasets.
Own the full lifecycle: discovery architecture delivery monitoring.
Work closely with internal stakeholders (BI, Data Engineering, Ops, Risk, Compliance) to bring working AI solutions into production.
Operate with a solve it first, explain it later mindset rapid prototyping, fast iteration, and clean handovers.