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Job Title: AI Solutions Architect
Location: Bellevue, WA (Onsite)
Type: Contract
Position Overview
We are seeking a forward-thinking AI Solutions Architect to design and deploy intelligent systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced chunking strategies. This role focuses on building scalable, production-grade AI applications using cutting-edge retrieval and generation techniques.
Key Responsibilities
Job Title: AI Solutions Architect
Location: Bellevue, WA (Onsite)
Type: Contract
Position Overview
We are seeking a forward-thinking AI Solutions Architect to design and deploy intelligent systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced chunking strategies. This role focuses on building scalable, production-grade AI applications using cutting-edge retrieval and generation techniques.
Key Responsibilities
- Design and implement RAG pipelines using hybrid search (vector, keyword, semantic ranking, metadata enrichment)
- Apply advanced chunking strategies (fixed-size, recursive, semantic, agentic) for optimal document segmentation
- Fine-tune and evaluate LLMs (e.g., GPT, LLaMA, Ollama) for:
- Question Answering
- Summarization
- Named Entity Recognition (NER)
- Sentiment Analysis
- Build and manage multi-agent AI systems
- Integrate AI solutions into enterprise platforms using:
- Azure OpenAI
- Azure Cognitive Search
- Azure Functions
- Power Automate
- Collaborate with stakeholders to translate business requirements into scalable AI solutions
- Ensure model reliability, performance, and ethical compliance
- 5–7 years of experience as a Full Stack Developer, with 2–4 years in Generative AI / RAG systems
- Strong proficiency in:
- Python
- Azure AI Studio & Azure Cognitive Services
- Vector databases (Pinecone, FAISS)
- Chunking techniques & embedding strategies
- Experience with MLOps tools (MLflow, Docker, CI/CD pipelines)