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.
AI Architect
Location: Plainsboro, NJ
work Type: Hybrid with min 3-4 days onsite per week
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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Numbers & Facts
Location
Edison, New Jersey
Job Type
Part-time
Skills
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Communication Skillsunmatched
Cross-Functionalunmatched
Customer Satisfactionunmatched
Data Analysisunmatched
Data Scienceunmatched
Data Warehousingunmatched
Financial Trend Analysisunmatched
Fortune 1000 Customersunmatched
MCP - Microsoft Certified Professionalunmatched
Machine Learningunmatched
Modeling Languagesunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Semantic Searchunmatched
Snowflake Schemaunmatched
Software Developmentunmatched
Software Development Lifecycle (SDLC)unmatched
Structured Dataunmatched
Unstructured Dataunmatched
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