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# AI Solution Architect

- **Company:** Techno-Comp, Inc.
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Data Architecture, Distributed Systems, Python (Programming Language), Machine Learning, OpenAI, Tensorflow, Enterprise Search, Pinecone, Google Cloud, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Google Vertex AI, Llamaindex, Generative AI, Agentic-AI, Event Driven Architecture, Kubernetes, HuggingFace, Weaviate, Milvus, FAISS, Restful APIs, Docker, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.dice.com/job-detail/b8e59b34-7389-4604-abb2-b7a811643cfc

## About the Role

· 8+ years of experience in software/solution architecture, with strong experience in AI/ML solutions.

· Hands-on experience with Generative AI and Large Language Models (LLMs).

· Strong knowledge of RAG, embeddings, vector databases, prompt engineering, and AI agents.

· Experience with one or more cloud platforms: Azure, AWS, or Google Cloud Platform.

· Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent platforms.

· Strong programming experience in Python and/or Java.

· Experience with AI/ML frameworks such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.

· Experience with vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, or Milvus.

· Strong understanding of REST APIs, microservices, event-driven architecture, and distributed systems.

· Experience with Docker, Kubernetes, CI/CD, and cloud-native architectures.

· Knowledge of AI security, responsible AI, data privacy, and model governance.

· Excellent communication, architecture documentation, and stakeholder-management skills.

## Description

Job Summary: We are looking for an experienced AI Solution Architect to design and implement scalable, secure, and enterprise-grade AI solutions. The ideal candidate will have strong experience in Generative AI, LLMs, cloud platforms, machine learning, data architecture, and AI application development, along with the ability to translate business requirements into technical solutions.