AI Engineering Director
Core
Lead the AI strategy and architecture for an AI-native platform that enables financial services firms to create, manage, and execute data integrations and transformations without writing tickets.
Role type
Director-level hands-on AI Engineering lead
Builds
An AI-native platform for data integration and transformation in financial services
Domain
Financial services / Fintech / Data Engineering
Deliverable
production ML models | product features
Required skills
AI/ML engineering, Python, LLMs (RAG, agentic systems, prompt engineering), workflow orchestration, vector databases, Azure/AWS
Preferred skills
Financial services domain knowledge, MLOps at scale, fine-tuning open-source LLMs
Technologies
Agno, LangChain, LlamaIndex, Temporal, Prefect, Airflow, Pinecone, Weaviate, pgvector, Azure, AWS
Responsibilities
Execute AI strategy including LLM selection and agentic architecture; architect and implement core AI features like transformation generation and intelligent validation; establish evaluation, monitoring, and drift detection practices; define responsible AI practices for auditability and explainability.
Seniority
Director, hands-on IC with team leadership