Senior Data Scientist Agentic AI
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Senior Data Scientist - Agentic AI & MCP Protocol (Azure Databricks NLP)
Job Location: Seattle WA (Onsite - 3 days per week)
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 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
Bachelors or Masters 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.
Mandatory Skills: AI ML Governance Product Engineering .
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
