BR
BrillioAI Architect - R01570927
LocationEdison, New Jersey, United States
Work modehybrid
Typecontract
SenioritySenior
DepartmentAI & Data Engineering, AI & Data Engineering : Data Science
Company size5,001–10,000 people
PostedSep 8, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields
Strong proficiency in SQL
Strong proficiency in Python
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
Demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape
Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services preferred
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
Skills
SQL
Python
Snowflake
Generative AI
Large Language Models
prompt engineering
Retrieval-Augmented Generation
AI agents
MCP
MLOps
API
vector databases
semantic search
AI orchestration frameworks
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as “Brillians”, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio’s relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
About the role
AI Architect
Location: Plainsboro, NJ
work Type: Hybrid with min 3-4 days onsite per week
Requirements
•
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.
Nice to have
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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