Principal AI Engineer
Core
Lead the design, development, and implementation of scalable data engineering solutions and AI systems (RAG, agentic workflows) on a multi-cloud platform to support business strategic objectives.
Role type
Principal AI Engineer (Data Engineering & AI Systems)
Builds
Enterprise data pipelines, agentic systems, RAG solutions, and backend services exposing AI workflows.
Domain
Financial Services / Data Engineering & AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Spark, Databricks, Data Architecture, API Design, AI System Observability, RAG Implementation, Agentic Workflows, CI/CD, Security Frameworks
Preferred skills
Node.js, Apigee, Agent Frameworks, MLOps/LLMOps, Infrastructure as Code, Frontend Integration
Technologies
Python, PySpark, Databricks, Airflow, Kafka, Snowflake, Node.js, Apigee, GitHub Actions
Responsibilities
Oversee end-to-end data integration and lifecycle management; Architect and implement agentic systems and RAG solutions; Build batch and real-time data pipelines; Design governed data products and backend services; Implement observability and evaluation harnesses for AI systems; Lead and mentor a team of data engineers.
Seniority
Principal, hands-on IC with leadership
