What are the responsibilities and job description for the Senior AI Architect – Onsite | Long-Term Contract position at Global IT Con. LLC?
Role: Senior AI Architect
Location: Onsite – Santa Ana, CA
Contract Duration: Long-Term
Work Type: Full-Time, long-term contract role
Role Summary:
We are looking for a highly experienced Senior AI Architect who can design scalable GCP-native lakehouse environments, implement agentic AI orchestration, and govern end-to-end MLOps lifecycles for production AI systems.
Key Responsibilities:
- Lead end-to-end architecture and delivery of AI data platforms on Google Cloud
- Design and orchestrate autonomous, multi-step AI agent workflows
- Build and govern MLOps pipelines including model monitoring and drift detection
- Implement RAG architectures to ground LLMs using real-time retrieval and embeddings
- Ensure data platforms follow best-practice frameworks for scale, performance, and governance
- Collaborate with data engineering, platform, and AI teams to drive execution
- Present solution blueprints, technical decisions, and delivery updates to senior stakeholders
- Conduct AI tool evaluations and apply cost-efficient architecture principles (FinOps).
Required Skill Areas:
- Agentic AI Orchestration: Vertex AI Agent Builder, LangChain/LangGraph, CrewAI, or AutoGen
- Vertex AI MLOps: Pipelines, Model Registry, Monitoring, Drift Detection, CI/CD for ML
- GCP Lakehouse: BigQuery ML, BigLake, Dataflow, Dataproc, Medallion (Bronze/Silver/Gold)
- GenAI & RAG: Gemini models, embeddings, vector retrieval, prompt engineering, grounded LLM design
- Leadership: Solution design, governance, mentoring teams, stakeholder communication, and delivery ownership