

Codebase Inc
AI Architect with Snowflake(Onsite at Plainsboro,NJ)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Architect in Plainsboro, NJ (hybrid, 4 days onsite) with a contract length of "unknown" and a pay rate of "unknown." Key skills include AI, Snowflake, SQL, Python, and Pharma/Life Sciences experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Plainsboro, NJ
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🧠 - Skills detailed
#Scala #AI (Artificial Intelligence) #Monitoring #Deployment #Python #Databases #SQL (Structured Query Language) #Data Science #Data Engineering #API (Application Programming Interface) #ML (Machine Learning) #Snowflake #Model Deployment #Data Analysis
Role description
Title: AI Architect
Location: Plainsboro, NJ(Hybrid,4 days onsite)
C2C or W2
Key: Please focus on AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences background along with Snowflake experience, 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 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 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
Please note: For Both the below 2 roles Commercial Analytics/Iqvia data/Pharma Analytics/Lifesciences experience is must on the funtional area along with Technical expertice.
Title: AI Architect
Location: Plainsboro, NJ(Hybrid,4 days onsite)
C2C or W2
Key: Please focus on AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences background along with Snowflake experience, 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 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 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
Please note: For Both the below 2 roles Commercial Analytics/Iqvia data/Pharma Analytics/Lifesciences experience is must on the funtional area along with Technical expertice.






