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AI Architect

Job in Los Angeles, Los Angeles County, California, 90001, USA
Listing for: Appex Innovation
Part Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below

AI Scientist / AI Architect (Hands-On)

We are hiring for a job role: AI Scientist / AI Architect (Hands-On)

Location:

Irvine, CA and LA, CA (2-3 days/week in the client's Irvine office, 1 day in their downtown LA office, 1 day remote) Type:
Contract-W2

You are: A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering. You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures. You are comfortable working closely with business stakeholders and leading AI-driven innovation initiatives in an enterprise environment.

What you need:
At least 8+ years of experience in AI/ML, Data Science, or Software Engineering Strong Python backend development experience Hands-on experience with LLM-enabled applications and Generative AI Experience building agent-based / agent-oriented AI systems Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing) Experience with API development and backend system integration AWS cloud-native development experience Experience with CI/CD pipelines and environment management Strong understanding of observability (logging, monitoring, tracing) Experience deploying ML models in production environments Exposure to enterprise AI workflows, automation, and governance models

Mandatory areas: AI/ML Solution Architecture LLM & Generative AI Development Agent-Based Systems Retrieval-Augmented Systems (RAG) Enterprise AI Integration

Must have skills:
Python & Backend Development LLM / Generative AI Application Development Agent-Based AI Systems RAG / Vector DB / Embeddings API Development & System Integration AWS Cloud (Cloud-Native Development) CI/CD & Dev Ops Practices Observability (Logging, Monitoring, Tracing)

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