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C2C of Generative AI Solution Architect in Torrance, California

Job in Torrance, Los Angeles County, California, 90504, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-05-28
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: C2C Job opportunity for the role of Generative AI Solution Architect in Torrance, California

Job Title:

Generative AI Solution Architect

Location:
Torrance, California (onsite)

Job Summary

Mandatory sills:
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. Chroma

    DB Milvus FAISS and embedding strategies for contextual accuracy
  • Integrate AI capabilities with enterprise systems via REST and Graph

    QL 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
  • Lang Chain Ecosystem, Lang Chain Lang Graph, prompt templates, agent orchestration patterns
  • AIML Frameworks OpenAI API Hugging Face Transformers Tensor Flow PyTorch experience with fine tuning and inference optimization
  • Data Context Management SQL Alchemy Postgre

    SQL 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
  • Dev Ops CICD Git Docker Azure Dev Ops 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
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