Lead Data Scientist (Agentic AI and Web Services)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, GG Tech Global, is seeking the following. Apply via Dice today! Lead Data Scientist (Agentic AI & Web Services) Remote Short-term Contract(2-3 Months) About The Role We''''re hiring a Lead Data Scientist to architect and deploy goal-oriented AI Agents. This role focuses on dynamic, stateful systems that reason, use tools, and interact in real-time, using FastAPI for services and Azure AI Foundry for orchestration—distinct from traditional static model training. Key Responsibilities • Agent Design & Orchestration: Develop autonomous agents with frameworks like LangGraph, Semantic Kernel, or Azure AI Agents SDK. • Web Service Development: Build scalable, async APIs via FastAPI for front-end integration. • Tool & Function Calling: Create and integrate custom tools (Python functions, APIs, databases) for real-world tasks. • State Management: Handle persistent memory for multi-turn agent interactions. • Azure Cloud Integration: Deploy and scale using Azure App Service, Container Instances, or Functions. • Prompt Engineering & Evaluation: Refine prompts and evaluate with tools like Ragas or Promptflow for reliability. Technical Requirements • Programming: Expert in Python, including async and type hinting. • API Frameworks: Experience with production FastAPI and Pydantic services. • Azure AI Ecosystem: Hands-on with Azure AI Foundry, OpenAI Service, and AI Search. • Agentic Frameworks: Skilled in LangGraph, CrewAI, Autogen, or Azure AI Agents SDK. • Vector Databases: Familiar with Azure AI Search, Pinecone, or Weaviate for RAG. • Cloud Infrastructure: Proficient in Azure CLI/SDK for compute, identities, and Key Vault. Education & Experience • Experience: 12+ years in Data Science/AI Engineering; 2+ years in Generative AI and Agentic systems. Preference for experience in the healthcare insurance domain. • Education: Bachelor’s or Master’s in Computer Science, AI, or related field. • Portfolio: Proven deployments of AI agents from prototype to production cloud. Who You Are • Architectural Thinker: Design scalable systems around models, beyond simple prompting. • Python Pro: Favor async, high-performance code. • Agent Enthusiast: Passionate about evolving from chatbots to autonomous agents.