AI Scientist / AI Architect – Irvine, CA – C2C – Only Local to CA

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
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)
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Domain Experience (If any)
* AI-enabled enterprise workflows
* Marketing / Content generation platforms (nice to have)
* Financial / Investment domain (preferred based on content use cases)
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Must Have Certifications
* Not mandatory (AWS / ML / AI certifications are good to have)