Senior Agentic AI Architect

STAFFXPERT LLC is seeking a Senior Agentic AI Architect on behalf of our client in Mason, OH to lead the design, development, and implementation of enterprise-grade AI solutions powered by modern Agentic AI frameworks and Generative AI technologies. This role is ideal for an experienced AI architect with deep expertise in multi-agent systems, large language models (LLMs), cloud-native architecture, and Microsoft Azure. The successful candidate will play a key role in delivering scalable, secure, and production-ready AI solutions for complex enterprise environments. Key Responsibilities Design and implement enterprise-scale Agentic AI solutions using modern multi-agent orchestration frameworks. Architect AI systems leveraging Large Language Models (LLMs), Generative AI, and advanced prompt and context engineering techniques. Build scalable, cloud-native AI applications using Microsoft Azure services. Develop intelligent workflows utilizing vector embeddings, retrieval-augmented generation (RAG), and AI orchestration patterns. Design secure, resilient, and highly available microservices-based AI platforms. Collaborate with cross-functional engineering, architecture, and business teams to deliver innovative AI solutions. Optimize AI model performance, scalability, reliability, and operational efficiency. Ensure solutions align with enterprise security, governance, and compliance standards., Job Description The HR Business Partner will drive all people activities, initiatives and programs for the entire Mason HPC site supporting the Plant Manager and acting as a key …

• 1 month ago +

Mentor technical teams and provide architectural leadership throughout the software development lifecycle. Required Skills & Qualifications 13+ years of overall IT experience with strong expertise in enterprise solution architecture. Hands-on experience with Agentic AI frameworks, A2A frameworks, and MCP protocol for multi-agent orchestration. Strong expertise in Generative AI, Large Language Models (LLMs), Natural Language Models (NLMs), vector embeddings, prompt engineering, context engineering, and LLM fine-tuning. Advanced Python programming skills; experience with Java or Go is an added advantage. Proven experience deploying, monitoring, and scaling AI solutions on Microsoft Azure. Strong knowledge of Azure AI Search, Azure Cosmos DB, Redis, and Azure Blob Storage. Experience with Apache Iceberg is a plus. Strong understanding of cloud-native architecture, microservices, containerization, serverless computing, and distributed systems. Experience designing highly scalable, secure, and production-ready AI platforms. Knowledge of AI governance, security, and compliance best practices. Healthcare or other regulated industry experience is highly preferred. Strong communication, leadership, and stakeholder management skills. Preferred Qualifications Experience with enterprise AI platform architecture and AI operations (AIOps/MLOps). Familiarity with Retrieval-Augmented Generation (RAG) architectures. Experience integrating AI services into enterprise applications and APIs. Knowledge of modern DevOps, CI/CD, Kubernetes, and container orchestration technologies. Additional Requirements Candidates must have an updated LinkedIn profile. Willingness to work onsite in Mason, OH.

• $104,200-130,200 per year