Data Governance AI Engineer

Strictly W2 Only - No C2C Job Title: Sr Engineer, AI Data Governance (AI/ML & GenAI) Location: Bellevue, WA (Only Locals) Duration: 6 Months Work Type: Onsite (5 Days) ⚠️ US citizens, Independent Visa holder - NO OPT, CPT and H1B Key Responsibilities AI & GenAI Engineering • Design and deploy production-grade AI/ML & GenAI systems • Build: RAG pipelines, Multi-agent workflows, LLM-powered governance solutions, NLP-driven classification systems Intelligent Data Governance • Develop AI systems for: Automated data classification, Metadata discovery, Lineage generation, Data quality automation, Natural language data discovery • Integrate with: Collibra, Ataccama, OpenMetadata, Securiti.ai Conversational AI & Search • Build chatbot/NLQ interfaces for enterprise data discovery • Implement: Vector databases, Embedding strategies, Semantic search, Governance knowledge retrieval ML & AI Platform Engineering • Work with: LangChain, MLflow, Docker, Python • Build scalable AI workflows and feedback loops • Implement active learning and human-in-the-loop validation Data Lineage & Quality Automation • Build AI-assisted lineage generation systems • Use: SQL parsing, Metadata analysis, LLM reasoning, Schema similarity detection • Automate intelligent data quality recommendations Must Haves: • Strong hands-on experience with: Artificial Intelligence, Machine Learning, Generative AI systems • Experience building: RAG pipelines, NLP solutions, Multi-agent AI workflows, Production-grade LLM applications • Strong expertise in: Python, LangChain, MLflow, Docker • Experience with: Vector embeddings, Semantic search, AI orchestration, Conversational AI • Strong understanding of: Data platforms, Data warehousing concepts, Enterprise data ecosystems • Ability to work on: Scalable AI systems, Governance automation, Metadata intelligence ⚠️ Missing AI + RAG + NLP + LangChain + MLflow → Rejection Nice to Have • Data Governance platform experience • Collibra / Ataccama / OpenMetadata • Multi-agent orchestration • Data lineage automation • Data quality frameworks • Telecom domain experience