What are the responsibilities and job description for the AI Architect position at Innovatix Technology Partners?
Role: AI Scientist / AI Architect
Duration: 12 months
Location: Irvine/ Los Angeles, CA (2-3 days / week in the client’s Irvine office, 1 day in their downtown LA office, 1 day remote)
Job 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.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 model
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)