Senior Principal AI Engineer
Core
Designing and implementing enterprise-scale AI/ML infrastructure, automation tools (MLOps/DevOps), and cloud-native AI solutions to operate business data and ML applications.
Role type
Senior Principal AI Engineer (Infrastructure & MLOps)
Builds
Scalable, resilient cloud and on-premise systems for hosting machine learning systems; automation tools for code analysis, build, integration, and deployment of ML applications.
Domain
Financial Services / Cloud Infrastructure / Machine Learning
Deliverable
infrastructure
Required skills
Distributed ML systems design, GCP services (Vertex AI), Generative AI (LLMs, RAG, LangChain, LlamaIndex), MLOps orchestration (AirFlow, KubeFlow, Dagster, Flyte), DevOps pipelines (Jenkins, GitHub Actions), Python, Hybrid cloud deployment (GCP/AWS/Azure), ML frameworks (PyTorch, TensorFlow), Software engineering best practices.
Preferred skills
Bash, JavaScript.
Technologies
Google Cloud Platform, Vertex AI, LangChain, LlamaIndex, AirFlow, KubeFlow, Dagster, Flyte, Jenkins, GitHub Actions, PyTorch, TensorFlow.
Responsibilities
Lead design and architecture of ML deployment tools; Define best practices for data and ML pipelines; Collaborate on automating ML application lifecycle; Provide technical guidance on infrastructure design; Build scalable cloud/on-premise systems; Mentor junior engineers.
Seniority
Principal, strategic leadership & hands-on IC
