AI Architect.

Argyllinfotech

  • Plainsboro, NJ
  • 8 days ago

    Highlights

    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.

    Numbers & Facts

    LocationPlainsboro, NJ

    Description

    AI Architect

    Location: Plainsboro, NJ

    work Type: Hybrid with min 3-4 days onsite per week

    snowflake/ snowflake cortex is mandatory

    Customer Novo Nordisk

    • 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 engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.
    • Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes.
    • 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.

    Preferred Qualifications

      • Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services is prefered
      • 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

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