AI/ML Architect

Role:

AI Scientist /

AI Architect Location:

4 days a week onsite is must (3 days in Irvine, CA & 1 Day in Downtown, LA, CA)

Job Type:

Contract Description:

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.

Note:

Mandatory Areas:

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

Enterprise AI Integration AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD Must Have Skills:

Python & Backend Development LLM / Generative AI Application Development Agent-Based AI Systems RAG / Vector DB / Embeddings API Development & System Integration AWS Cloud (Cloud-Native Development) CI/CD & DevOps Practices Observability (Logging, Monitoring, Tracing)

Responsibilities:

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.

Requirements:

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. Domain Experience (If any): AI-enabled enterprise workflows Marketing / Content generation platforms (nice to have) Financial / Investment domain (preferred based on content use cases)

Certifications:

Not mandatory (AWS / ML / AI certifications are good to have)