AI Architect

San R&D Business Solutions LLC

Job Location:

California, CA - USA

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

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

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

Strong collaboration and communication skills to work effectively with diverse teams and stakeholders.

Required Skills:

Strong collaboration and communication skills to work effectively with diverse teams and stakeholders.

Required Education:

Bachelors in Computer Science

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 year...

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

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