HAN IT Staffing Inc.

HAN IT Staffing Inc.

AI Architect with Pharma/Lifesciences

Plainsboro Township, New Jersey, USA · Contract

Sponsorship not specifiedDetected 27 days ago
SQLSnowflakeVector DatabasesMachine LearningData AnalysisData EngineeringData ScienceLLMsRAGAgentic AIMLOpsAI OrchestrationCommunicationProblem Solving

About the role

  • Role: AI Architect Location: Plainsboro, NJ Work type: Hybrid with min 4 days onsite per week Job Type: C2C/W2/1099 Key: Please focus on AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences background, with Snowflake Cortex as a good-to-have skill. Experience in Data Science, Machine Learning, Artificial
  • Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL) Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems. Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt

Nice to have

  • Experience with Snowflake data platform
  • exposure to Snowflake AI capabilities and Cortex services will be an added advantage.
  • Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.
  • Knowledge of data warehousing, data engineering concepts, and API integrations.
  • Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks.
  • With Lifesciences experience preferred
  • Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.
  • Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape.

This listing is sourced directly from HAN IT Staffing Inc.'s careers page and normalized into a canonical job model.