Agentic AI Architect

Job Title: Agentic AI Architect

Location: Atlanta, GA/Richmond, VA (Hybrid)

Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Architect to design and implement intelligent autonomous systems powered by Large Language Models (LLMs) and advanced AI frameworks.The ideal candidate will be responsible for architecting AI agents that can reason, plan, and perform tasks autonomously across enterprise platforms.You will work closely with engineering, data science, and product teams to build scalable AI-driven solutions, agent orchestration frameworks, and automation systems.

Key Responsibilities:

Design and develop Agentic AI architectures using LLM-based frameworks and multi-agent systems.Build and deploy autonomous AI agents capable of reasoning, decision-making, and task execution.Develop AI workflows using frameworks such as LangChain, AutoGen, CrewAI, or similar agent frameworks.Integrate LLMs (OpenAI, Anthropic, Azure OpenAI, or open-source models) into enterprise applications.Design API-driven architectures to integrate AI agents with enterprise systems, CRMs, ERPs, and cloud services.Implement prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases for knowledge retrieval.Collaborate with data engineers and ML teams to deploy scalable AI solutions on cloud platforms (AWS, Azure, or GCP).Build secure, scalable, and reliable AI systems with strong governance and monitoring.Optimize AI agent performance, latency, and cost efficiency.Stay updated with emerging technologies in Generative AI, Agentic AI, and LLM ecosystems.

Required Skills:

Strong experience with Generative AI, LLMs, and AI agent frameworks.Experience designing Agentic AI systems or autonomous AI workflows.Hands-on experience with Python, APIs, and microservices architecture.Knowledge of LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma).Strong understanding of RAG pipelines and prompt engineering.Experience integrating AI with enterprise platforms and APIs.Knowledge of cloud platforms (AWS, Azure, or GCP).Experience with Docker, Kubernetes, and CI/CD pipelines.