Generative AI Solution Architect - 1558
aKube
Contract
On-site
Glendale, California, United States
Generative AI
City:<\/b> Glendale, CA<\/span>
Onsite/ Hybrid/ Remote: <\/span><\/b>Onsite (4 days a week)<\/div>
Onsite/ Hybrid/ Remote: <\/span><\/b>Onsite (4 days a week)<\/div>
Duration<\/b>: 12 months<\/span>
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Rate Range<\/b>: Up to$107/hr on W2 depending on experience (no C2C or 1099 or sub -contract)<\/span>
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Work Authorization<\/b>: GC, USC, All valid EADs except OPT, CPT, H1B<\/span>
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Must Have:<\/b>
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â Snowflake
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â Bedrock
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â Python
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â SQL
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â AI/ML libraries and frameworks
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â Experience designing and delivering AI solutions
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â RAG and multi -agent architectures
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â Cloud deployment (AWS, Azure, GCP)
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Responsibilities<\/b>:
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â Partner with business teams to understand goals, use cases, and challenges.
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â Lead discovery, feasibility checks, and prioritization for AI initiatives.
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â Architect end -to -end Generative AI solutions, including model selection, training, and deployment.
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â Build and optimize Generative AI applications using Python, SQL, and modern AI frameworks.
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â Design and implement RAG pipelines, vector stores, and multi -agent workflows.
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â Run PoCs and pilots to validate technical and business impact.
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â Evaluate new AI technologies and ensure alignment with best practices.
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â Provide guidance to keep solutions scalable, secure, and aligned with business needs.
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Qualifications<\/b>:
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â 7+ years of experience in AI/ML and software development.
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â Strong background in building scalable Generative AI systems.
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â Proficiency in Python, SQL, and modern AI frameworks.
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â Hands -on experience with Snowflake and cloud platforms.
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â Experience with LangChain, LangGraph, Crew AI, or similar tools.
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â Skilled in query optimization, testing, and performance tuning.
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â Strong communication and collaboration skills.
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â Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
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