Gen AI Solution Architect

You will work with technologies that include Snowflake Cortex, Python, AWS , and SQL.


Partner with business groups across our organization to understand their objectives, use cases, and challenges, and develop innovative, scalable Generative AI applications and solutions to address their needs.

Lead the discovery of AI use cases and evaluate them for technical feasibility, business impact, and associated risks.

Architect end-to-end Generative AI solutions, including model selection, training strategies, and deployment architecture, ensuring scalability, performance, and ethical considerations.

Design, develop, and deliver Generative AI applications using a variety of models, tools, and frameworks.

Optimize queries and validate the functionality and performance of Generative AI applications through testing and iterative improvement.

Evaluate and assess new generative AI technologies, including Large Language Models (LLMs), chatbots, vector databases, and Retrieval-Augmented Generation (RAG) architectures.

Lead proof of concept (PoC) and pilot implementations to validate the potential of Generative AI solutions.

Provide strategic guidance to ensure AI solutions are aligned with business goals and industry best practices.

Qualifications

You could be a great fit if you have:

Minimum of 7 years of related experience in AI/ML, software development, and designing scalable AI solutions.

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or a related field, or equivalent work experience.

Extensive background in AI, with a focus on developing robust, scalable, and innovative Generative AI solutions.

Proficiency in Python, SQL, and relevant AI libraries and frameworks.

Hands-on experience with multiple LLMs, chatbot development, vector databases, and RAG-based architectures.

Experience building and deploying AI solutions on cloud platforms such as Azure, AWS, and Google Cloud.

Expertise in query optimization and validation testing of AI applications.

Proven ability to work directly with business teams to translate business requirements into technological solutions.

Strong problem-solving abilities, coupled with excellent communication and interpersonal skills.

A collaborative mindset, capable of working across diverse teams to drive innovative solutions