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AI Summary
Seeking an AI Architect with 10+ years of experience in Agentic AI, Multi-Agent Systems, and RAG architecture to design and build enterprise-grade AI solutions. Responsibilities include developing AI agents, architecting RAG pipelines, and integrating cloud/data platforms like Snowflake and Databricks. Requires strong Python skills, hands-on AI development, and leadership in AI solution delivery.
Key Highlights
10+ years of experience required
Expert-level Python and AI development
Experience with Snowflake, Databricks, Azure, and RAG architecture
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Key Responsibilities
Design and build enterprise-grade Agentic AI solutions
Architect and implement RAG pipelines, vector search, and embeddings
Develop AI agents using Python, LangGraph, LangChain, and Claude Agent SDK
Design agent orchestration, tool integrations, and intelligent workflows
Own end-to-end AI solution architecture from design to deployment
Design data pipelines and integrate enterprise data sources using Azure, Databricks, and Snowflake
Ensure data quality, security, governance, and reliability for AI applications
Lead and mentor engineers in hands-on development
Collaborate with enterprise architects and client stakeholders
Technical Skills Required
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Nice to Have
Experience delivering enterprise AI solutions in a consulting environment
Job Description
Bright Vision Technologies is seeking a highly skilled, hands-on AI Architect with deep expertise in Agentic AI, Multi-Agent Systems, RAG architecture, and enterprise AI solutions. The ideal candidate should have strong Python development skills, a solid foundation in data architecture, and proven experience building and deploying AI agents from scratch. They also should have Snowflake and Databricks experience.
Key Responsibilities
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