Senior AI Engineer - AI Platform & ML Engineering
Core
Build reusable AI/ML engineering patterns, MLOps/LLMOps practices, and governance standards to move AI solutions from experimentation to production.
Role type
Senior hands-on IC AI Platform & ML Engineering
Builds
Production-ready AI/ML platforms, deployment templates, monitoring systems, and agentic solution frameworks
Domain
Financial services / Cloud AI & MLOps
Deliverable
production ML models | infrastructure
Required skills
Python for ML engineering, MLOps/LLMOps practices, model deployment and serving, model monitoring and observability, cloud platform architecture, API integration, feature engineering pipelines, enterprise security and governance
Preferred skills
Databricks, AWS, Azure, MLflow, Lakehouse platforms, GenAI and agentic solution patterns
Technologies
Databricks, AWS, MLflow, Azure, Python
Responsibilities
Build reusable AL and ML engineering patterns; Establish practical MLOps and LLMOps practices; Create standards for model deployment and monitoring; Support API integration for ML and GenAI; Partner on feature engineering data products; Define versioning and governance for AI outputs; Monitor AI cost, performance, and operational risk
Seniority
Senior, hands-on IC
