Senior Data Scientist (Agentic AI Platform)
Core
Architect and ship production-grade autonomous AI agents that plan, reason, and execute complex business workflows end-to-end.
Role type
Senior IC agentic AI platform engineer
Builds
Multi-agent systems, RAG pipelines, and enterprise-integrated AI solutions
Domain
Enterprise AI / Agentic Workflows / Cloud Infrastructure
Deliverable
production ML models
Required skills
Agentic frameworks (LangGraph, AutoGen, CrewAI), LLM application patterns (RAG, tool calling, orchestration), Python (async, FastAPI), Azure cloud services, Vector databases, Classical ML, MLOps/LLMOps, SQL
Preferred skills
Model Context Protocol (MCP), Open-source LLM fine-tuning, Observability/tracing, Containerization (Docker, Kubernetes), Big data (Spark)
Technologies
LangGraph, AutoGen, CrewAI, Semantic Kernel, Azure OpenAI, Azure AI Foundry, Azure AI Search, FAISS, pgvector, Pinecone, Weaviate, Qdrant, LangSmith, Azure Monitor, OpenTelemetry, MLflow, FastAPI, PyTorch, TensorFlow, Azure Databricks, Synapse Analytics, Docker, Kubernetes, AKS, Azure Container Apps, Apache Spark, vLLM
Responsibilities
Design and productionize multi-agent systems with planning and memory; Develop end-to-end RAG pipelines; Integrate agents with enterprise APIs via tool calling; Build LLM evaluation frameworks; Implement safety guardrails and governance; Fine-tune and optimize LLMs; Design classical ML models to complement agents; Own LLMOps/MLOps pipelines; Collaborate on data governance; Translate business problems into agentic solutions; Mentor junior team members
Seniority
Senior, hands-on IC with mentorship responsibilities