AI Architect

AI Scientist / AI Architect

Location- Irvine CA and LA CA
Onsite Requirement- Yes
Number of days onsite
2-3 days / week in the clients Irvine office 1 day in their downtown LA office 1 day remote

Rate :: 80-90/hr on

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

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)

Job Title:
AI Scientist / AI Architect (Hands-on)
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.

The Opportunity:

Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standards
Build agent-based AI workflows automation systems and retrieval-based architectures (RAG vector search embeddings)
Architect and implement LLM orchestration layers supporting content ideation drafting and editing workflows
Lead integration of AI solutions with backend systems and enterprise platforms (APIs internal tools data platforms)
Partner with product marketing and business stakeholders to translate requirements into AI-driven solutions
Provide architectural leadership guide offshore teams and ensure delivery aligned with scalability security and governance standards

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