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SAN R&D Business Solutions · 23 hours ago

AI Architect

Foster City, CA

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

SAN R&D Business Solutions is a company focused on innovative technology solutions, and they are seeking an AI Architect to lead the design and implementation of AI-powered systems. The role involves architecting generative AI solutions, developing scalable AI architectures, and ensuring compliance with healthcare regulations.

Computer Software

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

Qualification

AI/ML systemsGenerative AILarge Language ModelsAzure AI searchCloud platformsNLPIntent recognitionRecommendation systemsAPI designEvent-driven architectureDistributed systemsCollaboration skillsCommunication skills

Required

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 years 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