Description

You will design and deploy scalable Generative AI applications to solve complex business challenges.

Responsibilities

• Architect end-to-end Generative AI solutions, including model selection, training strategies, and deployment architectures.
• Lead the discovery and technical feasibility evaluation of AI use cases, including risk assessment.
• Develop and deliver applications using various models, tools, and frameworks.
• Execute proof of concept (PoC) and pilot implementations to validate solution potential.
• Optimize queries and validate application performance through iterative testing.

Required Skills

• 7+ years of experience in AI/ML, software development, and designing scalable AI solutions.
• Proficiency in Python and SQL.
• Hands-on experience with Large Language Models (LLMs), chatbots, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
• Experience building and deploying AI solutions on AWS, Azure, or Google Cloud.
• Technical expertise in Snowflake Cortex.
• Ability to translate business requirements into technical architectures.
• Strong background in query optimization and validation testing.
• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or equivalent experience.

Preferred Skills

• Experience working across diverse teams to drive solution implementation.

Key Skills

Education

Bachelor's degree