Enterprise or Solutions Agentic AI Architect

Role1: Title: Enterprise AI Architect

Role2: Title: AI Solution Architect

Role3: Title: Agentic AI Technical 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/Google Cloud Platform) 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