Talent Portus
Senior AI Data Architect with GCP experience. Location: 4 days per week in Santa Ana, CA. Duration: 12+ months. All Visa Candidates area accepted.
Role Overview Senior AI Data Architect role focused on five high-impact skill clusters combining must-have GCP technical stack with emerging Agentic requirements that define this specific job.
Agentic AI & Orchestration Frameworks Look for candidates who move beyond basic chatbots and can build systems that "think" and "act." Key Keywords: Vertex AI Agent Builder, LangChain, LangGraph, CrewAI, AutoGen. What to look for: Experience building multi-step workflows where an AI agent uses APIs (tools) to complete a task, rather than just generating text.
Vertex AI & MLOps Lifecycle Must be an expert in the Vertex AI suite and demonstrate productionizing models. Key Keywords: Vertex AI Pipelines, Model Registry, Feature Store, Model Monitoring, CI/CD for ML. What to look for: Experience with "Model Drift" detection and automated retraining pipelines (MLOps).
GCP Data Lakehouse Architecture Deep understanding of storing and processing massive datasets. Key Keywords: BigQuery (specifically BigQuery ML and BigLake), Dataproc, Dataflow, Medallion Architecture (Bronze/Silver/Gold). What to look for: Experience unifying "Data Lakes" with "Data Warehouses" into a single Lakehouse on GCP.
Generative AI & RAG (Retrieval-Augmented Generation) Architecting solutions using LLMs like Gemini. Key Keywords: Gemini (Pro/Flash), Vector Databases (Vertex AI Search & Conversation), Prompt Engineering, Embeddings. What to look for: Evidence of building RAG architectures where an LLM retrieves real-time data from a database to provide accurate, non-hallucinated answers.
Cross-Functional Technical Leadership Bridge business ROI and technical implementation. Key Keywords: Reference Architectures, Stakeholder Management, Solution Blueprints, Cost Optimization (FinOps). What to look for: Experience presenting to CXOs, mentoring data engineering teams, and performing "Vendor/Tool Evaluations" for GenAI.
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Engineering and Information Technology
Industry Technology, Information and Internet
Thanks and regards Mohd Furquan/Rehan rehan@talentportus.com
#J-18808-Ljbffr
Role Overview Senior AI Data Architect role focused on five high-impact skill clusters combining must-have GCP technical stack with emerging Agentic requirements that define this specific job.
Agentic AI & Orchestration Frameworks Look for candidates who move beyond basic chatbots and can build systems that "think" and "act." Key Keywords: Vertex AI Agent Builder, LangChain, LangGraph, CrewAI, AutoGen. What to look for: Experience building multi-step workflows where an AI agent uses APIs (tools) to complete a task, rather than just generating text.
Vertex AI & MLOps Lifecycle Must be an expert in the Vertex AI suite and demonstrate productionizing models. Key Keywords: Vertex AI Pipelines, Model Registry, Feature Store, Model Monitoring, CI/CD for ML. What to look for: Experience with "Model Drift" detection and automated retraining pipelines (MLOps).
GCP Data Lakehouse Architecture Deep understanding of storing and processing massive datasets. Key Keywords: BigQuery (specifically BigQuery ML and BigLake), Dataproc, Dataflow, Medallion Architecture (Bronze/Silver/Gold). What to look for: Experience unifying "Data Lakes" with "Data Warehouses" into a single Lakehouse on GCP.
Generative AI & RAG (Retrieval-Augmented Generation) Architecting solutions using LLMs like Gemini. Key Keywords: Gemini (Pro/Flash), Vector Databases (Vertex AI Search & Conversation), Prompt Engineering, Embeddings. What to look for: Evidence of building RAG architectures where an LLM retrieves real-time data from a database to provide accurate, non-hallucinated answers.
Cross-Functional Technical Leadership Bridge business ROI and technical implementation. Key Keywords: Reference Architectures, Stakeholder Management, Solution Blueprints, Cost Optimization (FinOps). What to look for: Experience presenting to CXOs, mentoring data engineering teams, and performing "Vendor/Tool Evaluations" for GenAI.
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Engineering and Information Technology
Industry Technology, Information and Internet
Thanks and regards Mohd Furquan/Rehan rehan@talentportus.com
#J-18808-Ljbffr