AI Solution Architect

Techno-Comp, Inc.; Raleigh (NC); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Techno-Comp, Inc. in Raleigh, NC is seeking an experienced AI Solution Architect to design enterprise-grade AI solutions. You will translate business needs into scalable architectures leveraging Generative AI, LLMs, data architecture, and cloud platforms.

Responsibilities include shaping AI strategy, selecting tools like LangChain and PyTorch, integrating vector databases, ensuring security and governance, and driving implementation with REST APIs, microservices, and CI/CD in a hybrid work model.

Qualifications

• Must have hands-on experience designing AI/ML solutions at scale.
• Strong background in Generative AI, LLMs and data architecture.
• Experience with cloud platforms and AI tooling.

Responsibilities

• Design enterprise AI architectures aligned with business goals.
• Evaluate and implement AI tools, frameworks, and platforms.
• Ensure security, governance, and data privacy in AI solutions.
• Collaborate with stakeholders and document architecture decisions.

Skills

AI/ML architecture

Generative AI & LLMs

RAG & embeddings

Cloud platforms

Python/Java

LangChain/LlamaIndex

PyTorch/TensorFlow

Vector databases

REST APIs & microservices

Docker & Kubernetes

Tools

LangChain

LlamaIndex

Hugging Face

PyTorch

TensorFlow

Pinecone

FAISS

Weaviate

Milvus

Job description

Job Title: AI Solution Architect

Location: Raleigh, NC (Hybrid)

Duration: Long Term Contract

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.

Required Skills:

• 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.