AI/LLM Solution Architect

Computer Task Group, Inc • Dallas, TX

1d • Onsite

About The Position

CTG is seeking to fill an AI/LLM Solution Architect position for our client. This is an exciting opportunity for an experienced Solution Architect with hands-on expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, cloud platforms, and enterprise AI solutions. The ideal candidate will design scalable, secure, production-ready AI solutions and help translate emerging AI technologies into practical enterprise applications.

Requirements

• LLM, Generative AI, RAG, and multi-agent architecture
• Python, LangChain, LangGraph, and vector databases
• Azure, AWS, and/or GCP
• Data engineering, security, governance, and enterprise data integration
• CI/CD, Terraform/IaC, DevOps, and observability
• AI agent orchestration and enterprise application integrations
• Strong solution architecture, technical documentation, and problem-solving skills
• 8+ years of solution architecture experience.
• 3+ years designing and implementing AI/LLM solutions.
• Experience with production-ready RAG, LLM, multi-agent, and AI automation solutions.
• Experience with cloud platforms, enterprise integrations, CI/CD, IaC, security, governance, and observability.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

• Oracle OCI experience is a plus
• Experience working in regulated or highly governed environments is preferred.

Responsibilities

• Define reference architectures for LLM, RAG, Generative AI, and multi-agent workflows.
• Design solutions using structured and unstructured data, including RAG and Action Agents for task automation.
• Integrate enterprise data sources securely while ensuring security, governance, compliance, and auditability.
• Build production-ready solutions with CI/CD, IaC, observability, SLOs, and rollback capabilities.
• Lead deployments across dev, test, staging, and production environments.
• Analyze use cases and recommend effective AI/LLM architecture and technology solutions.
• Create solution design documentation and develop POCs to validate technical feasibility.
• Apply best practices across AI architecture, data integration, and enterprise workflows.

What This Job Offers

• Career Level: Senior