Enterprise AI Architect

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