AI Architect

Job Description

Job Description

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

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Must Have Skills

• Skill 1 – Python & Backend Development

• Skill 2 – LLM / Generative AI Application Development

• Skill 3 – Agent-Based AI Systems

• Skill 4 – RAG / Vector DB / Embeddings

• Skill 5 – API Development & System Integration

• Skill 6 – AWS Cloud (Cloud-Native Development)

• Skill 7 – CI/CD & DevOps Practices

• Skill 8 – Observability (Logging, Monitoring, Tracing)