AI Scientist / AI Architect
Quick Overview
Job Description
Job Title: AI Scientist / AI Architect
Duration: 6-12+ Months Contract
Location: Irvine, CA, and Los Angeles, CA ( 2-3 days/week in the client's Irvine office, 1 day in their downtown LA office, 1 day remote)
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)
Domain Experience (If any)
AI-enabled enterprise workflows
Marketing / Content generation platforms (nice to have)
Financial / Investment domain (preferred based on content use cases)
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
Skills
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