We are seeking an AI / Generative AI Architect with deep experience in LLMs, RAG, semantic search, and agentic AI systems to design and deliver enterprise-grade, compliant AI platforms . This role focuses on building scalable, auditable, and secure AI architectures that support intelligent search, virtual assistants, and personalized engagement systems.
Key Responsibilities
- Architect Generative AI solutions using LLMs and Retrieval-Augmented Generation (RAG) .
- Design semantic search and NLP architectures supporting multilingual inputs and open-text queries.
- Build agentic AI architectures with orchestration frameworks and human-in-the-loop oversight .
- Define deterministic, traceable, and auditable AI behavior patterns .
- Design architectures for virtual assistants, intent recognition, recommendation systems, and personalized engagement .
- Establish integration patterns with CRM systems and third-party data sources.
- Ensure AI solutions meet healthcare compliance, data privacy, and audit requirements .
Required Skills & Experience
- 10-12 years of experience in software / solution architecture
- 5+ years in AI/ML systems and 2-3 years in Generative AI & LLMs
- Experience with Azure AI Search, semantic search, NLP, and recommendation systems
- Hands-on experience with agentic AI and orchestration frameworks (LangChain, Semantic Kernel, AutoGen)
- Strong cloud and microservices architecture experience (Azure/AWS/GCP )
- Experience with API design, distributed systems, and CRM integrations
Agentic AI Technical Architect in tulsa at Unknown Company
This position is listed as full time and onsite.