engineering technologies. Contributes to the realization of cutting-edge technical capabilities into business applications... for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector databases...
' Lakeflow, Agent Bricks, and vector databases What We Value: Technical Excellence: You write clean, maintainable code... a critical role in architecting and scaling our data platform and AI/ML processing infrastructure. You'll be a technical leader...
integration efforts. Responsibilities: A day in the life/What the position will be doing: Exploit imagery, vector... notebooks. Familiarity with technical intelligence data or similar high-volume datasets. Pay Transparency: In support of pay...
generation (RAG), and memory/context management Experience employing vector databases (Pinecone, Weaviate, FAISS...) Strong communication skills with the ability to present complex AI outputs in an accessible manner to non-technical stakeholders...
/authorization patterns. Maintain vector and embedding stores (e.g., Azure AI Search, pgvector, Pinecone) and RAG pipelines;tune... Implement policy and technical controls for privacy, confidentiality, privilege, and data residency in coordination...
business impact. This role combines deep technical execution with architectural thinking-building robust data lakes, warehouses... Agentic AI solutions leveraging frameworks like LangChain and Semantic Kernel. Apply RAG patterns and vector databases...
business impact. This role combines deep technical execution with architectural thinking—building robust data lakes, warehouses... Agentic AI solutions leveraging frameworks like LangChain and Semantic Kernel. Apply RAG patterns and vector databases...
. Responsibilities Architect and oversee technical design and implementation of Applied AI solutions in MSC. Play a pivotal role..., implement, and track success metrics and KPIs for POCs and AI solutions. Present findings from POCs and research to technical...
strong technical proficiency in applied generative artificial intelligence, data-driven experimentation, vector database, semantic...). Strong knowledge of NLP, Machine Learning, embeddings, vector databases (indexing, ingestion/re-indexing, filtering etc.) and semantic...
surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/ cross... into technical realities, abstracting AI complexity so they can iterate quickly. Who You Are 1-3+ years of professional...