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GenAI Architect

United States
Full Remote
This Job is No Longer Active This position is no longer accepting applications

Lead assessment, design, and implementation of enterprise-scale Generative AI and Agentic AI solutions. Design end-to-end architecture including LLM selection, RAG, and agent frameworks. Drive technical leadership, governance, and post-production operating model for measurable business outcomes.

Key Highlights
Enterprise-scale GenAI and Agentic AI solution architect
End-to-end solution design from architecture to production deployment
Multi-agent AI systems with LLM selection, RAG, and agent frameworks
Key Responsibilities
Assess client business processes, systems, data ecosystems, and operational challenges to identify high-value GenAI and Agentic AI use cases
Design and own the end-to-end solution architecture, including LLM selection, agent frameworks, RAG architecture, data ingestion strategies, integrations, security controls, evaluation frameworks, and cost optimization
Lead hands-on implementation efforts, establish engineering and prompt-engineering best practices, solve complex technical challenges, and drive rapid iterative development
Technical Skills Required
Python Agentic AI RAG architecture
Benefits & Perks
100% Remote

Job Description

Job Title: GenAI Architect

Location: 100% Remote

Duration: 6 months +

Position Overview

We are seeking a highly experienced GenAI Architect to lead the assessment, design, and implementation of enterprise-scale Generative AI and Agentic AI solutions. This role requires a hands-on technical leader who can quickly understand complex business environments, identify high-impact AI opportunities, and drive end-to-end solution delivery from architecture through production deployment.

Key Responsibilities

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