Enterprise AI Architect

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Quantum World Technologies Inc., is seeking the following. Apply via Dice today Role: Enterprise AI Architect Location: Torrance, California (onsite) Mandatory sills: RAG, Python 310, LangChain, LangGraph, prompt templates, and various agent orchestration patterns, Architectural diagrams Key responsibilities: Design multilayered AI solutions balancing compute efficiency contextual fidelity and algorithmic adaptability retrieval reasoning planning tool use Develop advanced RAG pipelines leveraging vector databases e.g. ChromaDB Milvus FAISS and embedding strategies for contextual accuracy Integrate AI capabilities with enterprise systems via REST and GraphQL APIs ensuring secure and scalable interoperability Establish best practices for algorithm selection and layering combining neural models symbolic reasoning and tool based agents for optimal performance Collaborate with cross-functional teams to embed AI agents into business workflows and align with compliance and governance standards Implement structured output validation and schema enforcement using Pydantic FastAPI and JSON Schema for robust data integrity Optimize compute resources and latency tradeoffs across cloud hybrid and edge environments for high performance AI workloads Define observability baselines telemetry tracing evaluation metrics and rollout strategies for safe iterative deployments Required skills: Programming Architecture Python 310 Async design modular distributed architecture microservices LangChain Ecosystem, LangChain LangGraph, prompt templates, agent orchestration patterns AIML Frameworks OpenAI API HuggingFace Transformers TensorFlow PyTorch experience with finetuning and inference optimization Data Context Management SQLAlchemy PostgreSQL JSON Schema Mapping feature engineering and contextual pipelines Vector Databases Semantic Search ChromaDB Milvus FAISS embedding optimization and similarity search strategies Algorithmic Design Strong understanding of algorithm layering retrieval reasoning planning hybrid AI approaches and compute aware model selection API Integration Security REST GraphQL OAuth enterprise grade security practices DevOps CICD Git Docker Azure DevOps or equivalent FastAPI Uvicorn containerized deployments and automated pipelines Agentic Capabilities Reasoning adaptation tool calling MCPbased solutions ReAct agents Supervisor multiagent coordination Performance Optimization Distributed compute strategies GPUTPU utilization quantization pruning distillation caching batching