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AI Architect
Job Location:
Monthly Salary:
Experience Required:
Posted:
19 June 2026 (30+ days ago)
Posted:
Application Deadline:
16 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 clients 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
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)
Required Skills:
AI AI/ML RAG Python AWS Agentic AI AI Integration
