AI Architect
Why This Role Stands Out
As an AI Architect at UnivEdge Consulting LLC, you'll drive innovation by designing and deploying cutting-edge AI solutions within the pharma and life sciences sector, with hybrid flexibility to support your work-life balance. This role is ideal for a seasoned professional with a strong background in AI, machine learning, and Generative AI concepts, eager to make a significant impact and grow their expertise. Apply now to shape the future of AI in a dynamic and collaborative environment.
Quick Overview
Job Description
Title: AI Architect
Location: Plainsboro, NJ
Work type: Hybrid with min 4 days onsite per week
Key: Please focus on AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences background, 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
Skills
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