Role1: Title: Enterprise AI Architect
Role2: Title: AI Solution Architect
Role3: Title: Agentic AI Technical Architect
NOTE:
Any visa is fine.
Open for FTE/C2H/C2C.
Client is focusing more on Google Cloud Platform.
- 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
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