Generative AI Solution Architect

aKUBE

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.

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