AI Solution Architect - 20010
Huy Tran
HR Administrator
Required Skills
Job Overview
Role Summary
We are seeking an AI Solution Architect for a consulting assignment focused on designing and evolving modern AI solutions. The role combines a strategic architecture perspective with practical understanding of how AI solutions are implemented and integrated within larger technical environments. You will translate business and technical needs into scalable solutions, with particular focus on unstructured data, Retrieval-Augmented Generation (RAG), AI Search, and agent-based AI workflows.
Key Responsibilities
- Design and further develop scalable, modern AI solution architectures.
- Translate business requirements and technical needs into practical AI solution designs.
- Define architectures for solutions that use unstructured data, generative AI, and large language models.
- Design Retrieval-Augmented Generation (RAG) solutions and associated data retrieval patterns.
- Develop approaches for AI Search and semantic search capabilities.
- Design agentic AI architectures and agent-based workflows.
- Support the integration of AI solutions into larger enterprise technical environments.
- Collaborate with both technical teams and business stakeholders throughout solution design and realization.
Technical Stack & Requirements
- AI solution architecture and scalable solution design.
- Generative AI and Large Language Model (LLM)-based solutions.
- Retrieval-Augmented Generation (RAG).
- AI Search and semantic search.
- Unstructured data processing and retrieval.
- Agentic AI and agent-based workflows.
- Integration of AI solutions within larger technical ecosystems.
Qualifications & Experience
You have demonstrated experience in AI Solution Architecture and a strong technical background in designing modern AI solutions where architecture, data, and implementation must work together. You have solid knowledge of generative AI and LLM-based solutions, as well as hands-on experience working with unstructured data, RAG, AI Search, semantic search, and agentic AI. Experience designing and integrating AI solutions into complex technical environments is required. The assignment also requires the ability to work effectively with both technical and business-oriented stakeholders.