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Generative AI Solution Architect

2 weeks ago

Glendale, CA, United States aKube, Inc. Full time
Job Description
City: Glendale, CAOnsite/ 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.