Cognisol ยท 5 months ago
AI ARCHITECT
Carlsbad, California, United States
Full-time
Onsite
Senior Level
$55/hr - $55/hr
7+ years expCognisol is seeking a seasoned AI Architect to lead the design, orchestration, and deployment of intelligent solutions using Generative AI and Large Language Models. The role involves architecting end-to-end LLM solutions, collaborating with data engineers, and ensuring robust data governance and compliance across AI projects.
Information Technology & Services
Responsibilities
Architect end-to-end LLM solutions for chatbot applications, semantic search, summarization, and domain-specific assistants
Design modular, scalable LLM workflows including prompt orchestration, RAG (retrieval-augmented generation), vector store integration, and real-time inference pipelines
Leverage Databricks Unity Catalog for:
Centralized governance of AI training and inference datasets
Managing metadata, lineage, access controls, and audit trails
Cataloging feature tables, vector embeddings, and model artifacts
Collaborate with data engineers and platform teams to ingest, transform, and catalog datasets used for fine-tuning and prompt optimization
Integrate feedback loop systems (e.g., user input, signal-driven reinforcement, RLHF) to continuously refine LLM performance
Optimize model performance, latency, and cost using a combination of fine-tuning, prompt engineering, model selection, and token usage management
Oversee secure deployment of models in production, including access control, auditability, and compliance alignment via Unity Catalog
Guide teams on data quality, discoverability, and responsible AI practices in LLM usage
Qualification
Required
7+ years in AI/ML solution architecture, with 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)
Company
Cognisol
At Cognisol, we collaborate with visionary founders, startups, and enterprises to turn bold ideas into intelligent, scalable digital products.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase