Technical Architect AI/ML

Technical Architect AI/ML

Full-Time / Contract

Foster City, CA 94404 (Onsite)

Experience / Skills

• 10+ years of software architecture experience, with 5+ years in AI/ML systems
• 2-3 years of 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 Python, Guardrails, Security and CRM integrations (Salesforce, Microsoft Dynamics, or similar)
• 3-5 years of experience in API design, event-driven architecture, and distributed systems
• Bachelor s or Master s degree in Computer Science, Information Systems, Data Engineering, or equivalent

Job/ Role Description

• 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, maintain 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
• Strong collaboration and communication skills to work effectively with diverse teams and stakeholders

Expected Outcome

• Design automated adverse event (AE) detection, triage, and reporting systems with predefined compliance workflows
• Create systems with full traceability, audit trails, and compliance workflow capabilities
• Ensure all solutions meet healthcare regulatory requirements and audit standards
• Design data privacy and security controls for sensitive healthcare information
• Establish human-in-the-loop oversight mechanisms for all AI decisions