AI ARCHITECT
$114,400–$114,400 year
On-siteCarlsbad, California, United States
Job Summary
Architect end-to-end LLM solutions for chatbot applications, semantic search, summarization, and domain-specific assistants. Design modular, scalable workflows including prompt orchestration, RAG, vector store integration, and real-time inference pipelines. Leverage Databricks Unity Catalog for centralized governance of training and inference datasets, managing metadata, lineage, and audit trails. Collaborate with data engineers to ingest and catalog datasets for fine-tuning and prompt optimization. Integrate feedback loop systems to continuously refine LLM performance and optimize model latency and cost. Oversee secure production deployment with access control and compliance alignment. Guide teams on data quality and responsible AI practices. Requires 7+ years in AI/ML architecture with 2+ years focused on LLMs and Generative AI. Onsite in Carlsbad, CA. 1099 rate of $55/Hr for 12+ months.
Required Qualifications
- 7+ years in AI/ML solution architecture
- 2+ years focused on LLMs and Generative AI
- Strong experience working with OpenAI (GPT-4/o), Claude, Gemini, and integrating LLM APIs into enterprise systems
- Proficiency in Databricks, including Unity Catalog, Delta Lake, MLflow, and cluster orchestration
- Deep understanding of data governance, metadata management, and data lineage in large-scale environments
- Hands-on experience with chatbot frameworks, LLM orchestration tools (LangChain, LlamaIndex), and vector databases (e.g., FAISS, Weaviate, Pinecone)
- Strong Python development skills, including notebooks, REST APIs, and LLM orchestration pipelines
- Ability to map business problems to AI solutions, with strong architectural thinking and stakeholder communication
- Familiarity with feedback loops and continuous learning patterns (e.g., RLHF, user scoring, prompt iteration)
- Experience deploying models in cloud-native and hybrid environments (AWS, Azure, or GCP)
- Currently based in CA
- Onsite work arrangement
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