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:

Agentic AI Architect

Key skills