Agentic AI Architect

We are looking for Agentic AI Architect for our client in Charlotte NC.

Job Title: Agentic AI Architect

Job Location: Charlotte NC

Job Type: Contract

Job Overview:

Requirement/Must Have:

• 10+ years of experience in software engineering, AI/ML, or solution architecture.
• Strong expertise in Python and modern backend architectures.
• Hands-on experience with LLM ecosystems and agent frameworks.
• Proven experience designing multi-agent systems and distributed architectures.
• Deep understanding of prompt engineering and LLM optimization.
• Deep understanding of embeddings and vector databases (FAISS, Pinecone, Azure AI Search, etc.).
• Deep understanding of Retrieval-Augmented Generation (RAG).
• Experience with cloud platforms (Azure preferred, AWS/Google Cloud Platform acceptable).
• Strong knowledge of API design, microservices, and event-driven architecture.
• Familiarity with security, authentication (OAuth, SSO), and data governance.
• Experience leading technical teams and driving architecture decisions.

Responsibilities:

• Define end-to-end architecture for agentic AI solutions, including multi-agent systems, orchestration layers, and integrations.
• Design and implement scalable agent frameworks using technologies such as LangChain, Semantic Kernel, AutoGen, CrewAI, etc.
• Lead development of LLM-driven systems (Azure OpenAI, OpenAI, Anthropic, etc.) with robust prompting strategies.
• Architect RAG pipelines, memory systems, and tool integration layers.
• Establish best practices for AI governance, security, and Responsible AI.
• Design integration strategies with enterprise systems (CRM, ERP, APIs, data platforms).
• Provide technical leadership, mentorship, and code quality oversight to development teams.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Ensure performance, scalability, reliability, and cost optimization of AI systems.
• Drive innovation by evaluating emerging AI technologies and frameworks.

Nice to Have:

• Experience with Model Context Protocol (MCP) or similar integration standards.
• Exposure to enterprise AI transformation programs.
• Knowledge of MLOps / LLMOps frameworks.
• Experience with frontend or conversational UI frameworks.
• Certifications (Azure AI Engineer, Solutions Architect, etc.).