AI Architect

San R&D Business Solutions LLC • California City, CA

2d

About The Position

Architect Generative AI solutions leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
Design semantic search engines capable of handling open-text queries, abbreviations, misspellings, and multilingual inputs
Establish virtual assistant architecture trained on approved FAQs and knowledge bases
Create intent recognition and recommendation engine architectures for "Next Best Action" capabilities
Design deterministic, auditable AI behavior patterns with full traceability
Architect content retrieval systems with intelligent tagging, pinning, and PRC-approved content filtering
Define and maintain the overall technical architecture for AI-powered engagement platform including search, virtual assistant, adverse event reporting, and personalization systems
Design scalable, compliant, and auditable AI solutions operating within healthcare regulatory guardrails
Establish integration patterns for CRM systems, third-party provider data sources, and field routing mechanisms
Create enterprise-grade architecture supporting semantic search, intent recognition, and multi-lingual capabilities
Design orchestrated agentic AI systems with human-in-the-loop oversight
Develop architecture for personalized engagement journeys and real-time decision systems

Requirements

• 10+ years of software architecture experience, with 5+ years in AI/ML systems
• 2-3 years experience in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)
• 2-3 years of experience in Azure AI search, semantic search, NLP, intent recognition, and recommendation systems
• 2+ years of experience with agentic AI architectures and orchestration patterns
• 2-3 years of experience with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, or similar)
• 5+ years of experience in cloud platforms (Azure/AWS/GCP) and microservices architecture
• Experience with CRM integrations (Salesforce, Microsoft Dynamics, or similar)
• 3-5 yeras of experience in API design, event-driven architecture, and distributed systems
• Strong collaboration and communication skills to work effectively with diverse teams and stakeholders.

Responsibilities

• Architect Generative AI solutions leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
• Design semantic search engines capable of handling open-text queries, abbreviations, misspellings, and multilingual inputs
• Establish virtual assistant architecture trained on approved FAQs and knowledge bases
• Create intent recognition and recommendation engine architectures for "Next Best Action" capabilities
• Design deterministic, auditable AI behavior patterns with full traceability
• Architect content retrieval systems with intelligent tagging, pinning, and PRC-approved content filtering
• Define and maintain the overall technical architecture for AI-powered engagement platform including search, virtual assistant, adverse event reporting, and personalization systems
• Design scalable, compliant, and auditable AI solutions operating within healthcare regulatory guardrails
• Establish integration patterns for CRM systems, third-party provider data sources, and field routing mechanisms
• Create enterprise-grade architecture supporting semantic search, intent recognition, and multi-lingual capabilities
• Design orchestrated agentic AI systems with human-in-the-loop oversight
• Develop architecture for personalized engagement journeys and real-time decision systems

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed