Generative AI Solution Architect

ZipRecruiter; Glendale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

A leading company in the Entertainment Media sector seeks a Gen AI Solution Architect to develop innovative Generative AI solutions. The ideal candidate will have at least 7 years of experience in AI/ML and cloud technologies, along with strong problem-solving skills. You'll partner with various business groups to understand their challenges and design scalable AI applications that drive innovation and improve operations.

Qualifications

• Min 7 years of experience in AI/ML and scalable AI solutions.
• Bachelor's degree or equivalent.
• Hands-on experience with LLMs and cloud platforms.

Responsibilities

• Develop innovative, scalable Generative AI applications.
• Lead discovery of AI use cases and evaluate technical feasibility.
• Architect end-to-end Generative AI solutions.

Skills

Experience building Generative AI solutions

Python

AI/ML

SQL

Problem-solving

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Snowflake Cortex

Job description

Job DescriptionJob DescriptionExperience:5 - 20 Years

Location: Glendale, CA – 3 days a week

Contract Duration:& 24 Months

Must Have:

• Experience building Generative AI solutions within AWS
• Python
• Snowflake Cortex

The Company

Headquartered in Los Angeles, this leader in the Entertainment Media space is focused on delivering world-class stories and experiences to its global audience. To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting-edge technology.

Platform / Stack

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

What You'll Do As a Gen AI Solution Architect:

• Partner with business groups across our organization to understand their objectives, use cases, and challenges.
• 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.
• Ensure scalability, performance, and ethical considerations in Generative AI solutions.
• 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.
• Evaluate and assess new generative AI technologies, including Large Models (LLMs), chatbots, vector databases, and Retrieval-Augmented (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.