AI Architect.

Argyllinfotech; Plainsboro Township (NJ); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Argyllinfotech is seeking an AI Architect to work with Novo Nordisk on data-driven AI and ML initiatives in Plainsboro, NJ. The role requires hybrid work with a minimum onsite presence of three to four days per week and hands-on Snowflake Cortex capabilities.

You will design and implement AI/ML solutions, collaborate with cross-functional teams, and translate business needs into scalable data-driven outcomes while leveraging SQL, Python, and emerging AI frameworks.

Qualifications

• Experience in Data Science, ML, AI with strong SQL and Python.
• Knowledge of Generative AI concepts, LLMs, prompt engineering, RAG, AI agents.
• Ability to work with structured and unstructured data to build scalable AI/ML solutions.
• Excellent problem-solving and communication skills; eagerness to learn new AI trends.

Skills

Data Science

Machine Learning

Artificial Intelligence

SQL

Python

Communication

Tools

Snowflake

Cortex

MLOps

APIs

Job 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