AI Architect

• 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.