AI Architect - Torrance, CA (3 Days onsite)

  • Santa Susana, CA
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Artificial Intelligence
Python
PyTorch
LangChain
Algorithms
API
DevOps
Git
GraphQL
JSON
Docker
Microsoft Azure
Microsoft Certified Professional
OAuth
PostgreSQL
React.js
SAFE
TensorFlow
Vector Databases
Continuous Integration and Development
Database

Job Details

Position: AI Architect

Location: Torrance, CA (3 Days onsite)

Duration: 6+ Months

 

Job Details:

  • Design multi-layered AI solutions balancing compute efficiency, contextual fidelity and algorithmic adaptability, retrieval, and reasoning planning tool use
  • Develop advanced RAG pipelines leveraging vector databases, e.g., Chroma DB, 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 trade-offs 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
  • Lang Chain Ecosystem Lang Chain Lang Graph prompt templates agent orchestration patterns
  • AIML Frameworks OpenAI API Hugging Face Transformers TensorFlow PyTorch experience with finetuning and inference optimization
  • Data Context Management, SQL Alchemy, PostgreSQL JSON Schema Mapping, feature engineering and contextual pipelines
  • Vector Databases, Semantic Search, Chroma DB, 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 Graph QL OAuth enterprise-grade security practices
  • DevOps CI/CD Git, Docker, Azure DevOps or equivalent FastAPI Uvicorn containerized deployments and automated pipelines
  • Agentic Capabilities Reasoning adaptation tool calling MCP-based solutions, ReAct agents, Supervisormultiagent coordination
  • Performance Optimization Distributed compute strategies GPUTPU utilisation quantisation pruning distillation caching batching

 

Skills

Mandatory Skills: Architectural diagrams

 

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