Senior Data Scientist C2C requirements at Seattle, WA (Hybrid)

Job Title : Senior Data Scientist – Agentic AI & MCP Protocol (Azure Databricks, NLP)

Location : Seattle, WA (Hybrid)

Duration : 12 Months

Job Description :

Key Responsibilities

·         Design, implement, and optimize Agentic AI systems using multi-agent frameworks (LangGraph, CrewAI, Semantic Kernel, AutoGen, or custom orchestration layers). 

·         Develop enterprise-scale NLP and Q&A pipelines leveraging Azure OpenAI (GPT-4/5), Hugging Face models, and Databricks MLflow for end-to-end lifecycle management. 

·         Build retrieval-augmented generation (RAG) systems that integrate structured (SQL/Delta Lake) and unstructured data (documents, PDFs, emails) stored in Databricks, Cosmos DB, or Azure Data Lake.Buildd knowledge-aware conversational agents capable of executing multi-step reasoning, SQL generation, and context persistence across sessions. 

·         Fine-tune and evaluate LLMs for domain-specific dialogue, intent recognition, and context-driven summarization.  

·         Integrate Databricks pipelines with Azure OpenAI endpoints, Cognitive Search, and Azure ML for scalable serving.

·         Develop evaluation metrics and continuous feedback loops to measure chatbot accuracy, response relevance, and hallucination control. 

·         Apply Responsible AI and data governance principles through Unity Catalog integration and secure prompt-respo se logging. 

·         Collaborate cross-functionally with data engineers, software developers, and UX designers to deliver intelligent, human-like virtual assistants.

Required Qualifications

·         Bachelor’s or Master’s in Computer Science, Computational Linguistics, Data Science, or a related quantitative field.

·         7+ years of experience in data science / NLP / converasational AI, with 3+ years in Azure Databricks or equivalent distributed compute environment. 

·         Proven experience in designing Multi-Agent orchestration system, autonomous reasoning, MCP protocol, LLM-driven systems using OpenAI, Azure OpenAI, Hugging Face, or similar APIs.

·         KNowledge inn LAngGraph/ CrewAI / Auto Gen / Semantic Kernel.  expertise in Python, PySpark, LangChain/LangGraph,

·         Transformers, and vector databases (e.g., Milvus, Weaviate, FAISS, or CosmosDB vector search). 

·         Strong background in RAG pipeline development, prompt engineering, and LLM fine-tuning / PEFT / LoRA.

·         Experience integrating models through MLflow, Azure ML, and AKS for deployment.

·         Understanding of semantic search, embedding models, knowledge graphs, and retrieval fusion.

·         Excellent communication and documentation skills; proven ability to translate AI concepts into production systems.