Hi
AI Architect (Full Stack Generative AI)
Location: Charlotte NC USA (3 days onsite)
12 Months Contract
Role Overview
We are looking for a hands-on AI Architect to design and build end-to-end Generative AI solutions. The role involves developing agentic workflows using LangChain/LangGraph building RAG pipelines and deploying scalable AI services on Google Vertex AI.
You will collaborate with product data and platform teams to deliver secure scalable and production-ready AI applications.
Key Responsibilities:
- Architect and develop agentic AI workflows using LangChain and LangGraph.
- Design and implement RAG pipelines including embeddings document ingestion and vector search.
- Work with vector databases such as Pinecone Weaviate Milvus or FAISS.
- Deploy AI solutions using Google Vertex AI Docker and Kubernetes.
- Build full-stack AI applications using Python (FastAPI) / and React / .
- Implement evaluation security and governance frameworks for AI systems.
- Provide technical leadership and architecture guidance for AI platforms.
Required Qualifications
- 8 12 years of software engineering experience.
- 4 years building ML / Generative AI systems in production.
- Strong experience with LangChain LangGraph and RAG architectures.
- Hands-on experience with vector databases and LLM integrations.
- Experience with Google Vertex AI or other cloud platforms.
- Strong skills in Python Docker Kubernetes and CI/CD.
Hi AI Architect (Full Stack Generative AI) Location: Charlotte NC USA (3 days onsite) 12 Months Contract Role Overview We are looking for a hands-on AI Architect to design and build end-to-end Generative AI solutions. The role involves developing agentic workflows using LangChain/LangG...
Hi
AI Architect (Full Stack Generative AI)
Location: Charlotte NC USA (3 days onsite)
12 Months Contract
Role Overview
We are looking for a hands-on AI Architect to design and build end-to-end Generative AI solutions. The role involves developing agentic workflows using LangChain/LangGraph building RAG pipelines and deploying scalable AI services on Google Vertex AI.
You will collaborate with product data and platform teams to deliver secure scalable and production-ready AI applications.
Key Responsibilities:
- Architect and develop agentic AI workflows using LangChain and LangGraph.
- Design and implement RAG pipelines including embeddings document ingestion and vector search.
- Work with vector databases such as Pinecone Weaviate Milvus or FAISS.
- Deploy AI solutions using Google Vertex AI Docker and Kubernetes.
- Build full-stack AI applications using Python (FastAPI) / and React / .
- Implement evaluation security and governance frameworks for AI systems.
- Provide technical leadership and architecture guidance for AI platforms.
Required Qualifications
- 8 12 years of software engineering experience.
- 4 years building ML / Generative AI systems in production.
- Strong experience with LangChain LangGraph and RAG architectures.
- Hands-on experience with vector databases and LLM integrations.
- Experience with Google Vertex AI or other cloud platforms.
- Strong skills in Python Docker Kubernetes and CI/CD.
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