Hi Everyone, CloudIngest is hiring for AI Data Engineer Interested Candidates can share your profile to jyothi@cloudingest.com Role: AI Data Engineer Location: Hybrid 3 days/week in Reston, VA Visa: USC, GC, H4EAD, and L1 only Contract: W2 Only Job Description: We are seeking a talented and motivated AI Data Engineer to join our innovation-focused team. You’ll contribute to cutting-edge generative AI systems and scalable AI pipelines using state-of-the-art cloud and open-source tools. Ideal candidates will have hands-on experience with prompt engineering, unstructured data processing, and agentic workflows, and will be familiar with integrating vector and graph databases into AI solutions. Primary Responsibilities • Design and develop scalable AI/ML data pipelines, particularly for Retrieval-Augmented Generation (RAG) architectures, using Python, Snowflake, and AWS services including Bedrock • Build and manage data pipelines for ingesting and transforming structured, semi-structured, and unstructured data into Snowflake, vector DBs (e.g., Pinecone, Weaviate, FAISS), and graph DBs (e.g., Neo4j, Amazon Neptune) • Implement data quality, validation, and monitoring mechanisms • Develop and deploy end-to-end generative AI pipelines • Engineer solutions for processing unstructured data and building autonomous agent workflows • Collaborate with product and engineering teams to integrate AI models into existing systems • Stay current with GenAI trends and apply best practices in production environments • Mentor junior team members on GenAI technologies and data engineering techniques • Apply GenAI to insurance-specific use cases when relevant Required Qualifications • Bachelor's degree in Computer Science, AI, or related field • 6+ years of data engineering experience • Direct or strong exposure to generative AI technologies • Proven delivery of enterprise-grade GenAI pipelines • Familiarity with prompt engineering and RAG pipeline implementation • Experience with vector and graph databases for AI applications • Ability to develop solutions handling unstructured data • Experience with agentic AI workflows Preferred Tools & Technologies • Python • Snowflake • Teradata • AWS (including Bedrock) • Vector databases: Pinecone, Weaviate, FAISS • Graph databases: Neo4j, Amazon Neptune