AI Architect - R01566870

Brillio 2

Edison (NJ)

Hybrid

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Brillio is seeking an AI Architect with a focus on Life Sciences and Pharma to design and implement AI-driven data solutions. You will work with SQL, Python, and Snowflake Cortex to build scalable ML models, integrate with enterprise data, and drive AI strategy across projects.

Hybrid work in Plainsboro, NJ with at least four days onsite weekly. Strong collaboration across data science, engineering, and business teams is essential, as is knowledge of GenAI, RAG, and AI agent concepts.

Qualifications

  • Experience in Data Science, Machine Learning, or AI-related fields with strong SQL/Python skills.
  • Hands-on data analysis, feature engineering, model development, evaluation and deployment of ML solutions.

Responsibilities

  • Develop and deploy ML models to solve business problems.
  • Work with cross-functional teams to translate business requirements into data-driven outcomes.
  • Apply Generative AI concepts, LLMs, and prompt engineering to practical solutions.
  • Leverage Snowflake data platform and Cortex services for scalable AI apps.

Skills

SQL
Python
Generative AI
LLMs
Prompt engineering
RAG
AI/ML concepts
Communication
Problem solving

Tools

Snowflake
Snowflake Cortex
MLOps
APIs

Job description

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.


Consultant


  • AI, LLM, Snowflake/ Snowflake Cortex

  • Data Science Advanced: Senior AI/ML Engineer

  • AI Architect

  • Location: Plainsboro, NJ

  • work Type: Hybrid with min 4 days onsite per week


Key: Looking for a AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences/Healthcare background, with Snowflake or Snowflake Cortex



  • 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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