Generative AI Solution Architect

Job Description

City : Glendale, CA Onsite / Hybrid / Remote : Onsite (4 days a week)

Duration : 12 months

Rate Range : Up to$107 / hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B

Must Have :

Snowflake

Bedrock

Python

SQL

AI / ML libraries and frameworks

Experience designing and delivering AI solutions

RAG and multi-agent architectures

Cloud deployment (AWS, Azure, GCP)

Responsibilities :

• Partner with business teams to understand goals, use cases, and challenges.
• Lead discovery, feasibility checks, and prioritization for AI initiatives.
• Architect end-to-end Generative AI solutions, including model selection, training, and deployment.
• Build and optimize Generative AI applications using Python, SQL, and modern AI frameworks.
• Design and implement RAG pipelines, vector stores, and multi-agent workflows.
• Run PoCs and pilots to validate technical and business impact.
• Evaluate new AI technologies and ensure alignment with best practices.
• Provide guidance to keep solutions scalable, secure, and aligned with business needs.

Qualifications :

• 7+ years of experience in AI / ML and software development.
• Strong background in building scalable Generative AI systems.
• Proficiency in Python, SQL, and modern AI frameworks.
• Hands-on experience with Snowflake and cloud platforms.
• Experience with LangChain, LangGraph, Crew AI, or similar tools.
• Skilled in query optimization, testing, and performance tuning.
• Strong communication and collaboration skills.
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.