Agentic AI Architect
About The Position
Bright Vision Technologies is seeking a hands-on AI Architect with deep expertise in Agentic AI, Multi-Agent Systems, RAG architecture, and enterprise AI solutions. The role requires strong Python development skills, a solid foundation in data architecture, and experience building and deploying AI agents from scratch, along with experience in Snowflake and Databricks. The Architect will design and deliver enterprise-grade AI solutions, own architecture through production deployment, and integrate enterprise data sources and cloud technologies. The role also includes leading and mentoring engineers while contributing directly to development, and collaborating with enterprise architects, advisory teams, and client stakeholders. This is a remote, full-time, direct W2 position; C2C and 1099 arrangements are not accepted. The annual salary range is $155,000–$210,000. Bright Vision Technologies cannot sponsor new H-1B visa petitions for this position.
Requirements
- Strong hands-on experience in Agentic AI, Multi-Agent Systems, and RAG architecture.
- Expert-level Python programming and AI application development skills.
- Experience building AI agents and integrating existing LLMs such as Claude, OpenAI, or Azure OpenAI.
- Strong understanding of enterprise architecture, data engineering, ETL/ELT pipelines, and cloud platforms.
- Experience with agent frameworks, vector databases, API integrations, and AI orchestration.
- Strong technical leadership, problem-solving, and communication skills.
- 10+ years of experience.
- Experience with Snowflake and Databricks.
Nice To Haves
- Experience delivering enterprise AI solutions in a consulting or services environment.
Responsibilities
- Design and build enterprise-grade Agentic AI solutions, including conversational AI, autonomous agents, and multi-agent systems.
- Architect and implement RAG pipelines, vector search, embeddings, retrieval strategies, and context management.
- Develop AI agents from scratch using Python and frameworks such as LangGraph, LangChain, Claude Agent SDK, or similar tools.
- Design agent orchestration, agent-to-agent communication, tool integrations, and intelligent workflows.
- Own end-to-end AI solution architecture, from design and development through production deployment.
- Design data pipelines and integrate enterprise data sources using Azure, Databricks, Snowflake, and related technologies.
- Ensure data quality, accessibility, security, governance, and reliability for AI applications.
- Lead and mentor engineers while remaining actively involved in hands-on development.
- Collaborate with enterprise architects, advisory teams, and client stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
