EI
Agentic AI Architect
eTeam Inc.
- 🇺🇸 United States
- On-site
- Staff / Principal
- 3 months ago
- $55 – $65 / hour
- AI
- AI/ML
- LangChain
- Semantic Kernel
- AutoGen
- CrewAI
- Azure OpenAI
- OpenAI
- RAG
- CRM
- ERP
- Python
- FAISS
- Pinecone
- Azure AI
- Azure
- AWS
- GCP
- Microservices
- Event-Driven Architecture
- OAuth
- Model Context Protocol
- MLOps
3 months ago
Location: Charlotte, NC
JOB DESCRIPTION:
Role Summary
We are looking for a highly experienced Agentic AI Architect to lead the design and implementation of enterprise-scale agentic AI solutions. This role will be responsible for defining architecture, guiding development teams, and ensuring scalable, secure, and high-performing AI systems that leverage LLMs, multi-agent frameworks, and enterprise integrations.
The ideal candidate combines deep technical expertise in AI/ML with strong architectural design skills and experience delivering complex, production-grade AI solutions.
Key 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
Required Skills & Experience
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
Embeddings and vector databases (FAISS, Pinecone, Azure AI Search, etc.)
Retrieval-Augmented Generation (RAG)
Experience with cloud platforms (Azure preferred, AWS/GCP 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
Good to Have
Experience with Model Context Protocol (ClientP) 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.)
Agentic AI Architect · eTeam Inc.