Senior AI Engineer
Core
Design, develop, deploy, and maintain production-grade machine learning and generative AI solutions (RAG, AI agents, copilots) on an enterprise data platform.
Role type
Senior AI Engineer (Generative AI & MLOps)
Builds
Scalable AI architectures, RAG solutions, AI agent frameworks, and intelligent assistant solutions.
Domain
Enterprise Data Platform, Cloud-Native AI, Generative AI
Deliverable
production ML models
Required skills
End-to-end ML lifecycle expertise, RAG architecture, AI agent orchestration, embedding pipelines, prompt engineering, model evaluation, cost optimization, cloud-native development
Preferred skills
None stated
Technologies
Azure, Databricks, OpenAI models, Retrieval-Augmented Generation (RAG), AI agents
Responsibilities
Design and implement AI agent frameworks with tool integration and memory management; Develop and optimize RAG solutions for knowledge retrieval; Create embedding pipelines using OpenAI and open-source alternatives; Evaluate and select AI models based on performance and cost; Implement monitoring and governance for deployed AI systems; Collaborate on AI copilots and intelligent assistant solutions.
Seniority
Senior, hands-on IC
