AI Agent Architect for Real-Time Enterprise Workflows

MethodHub; Mountain View (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

MethodHub is seeking a highly skilled Artificial Intelligence Engineer to design and deploy intelligent agents integrated with business data to drive trust and operational efficiency. This role emphasizes hands-on design of agentic architectures, end-to-end implementation, and proactive collaboration with cross-functional teams to translate business goals into scalable technical solutions.

Ideal candidates combine cloud data engineering with ML optimization and a strong privacy mindset for

Qualifications

• Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
• Data Proficiency: SQL for BigQuery, Python for ML engineering, and data preprocessing techniques.
• Cloud Infrastructure: Hands-on with Google Cloud Storage and Vertex AI endpoints.
• Emerging Tech: Familiarity with stateful real-time processing and agentic architectures.

Responsibilities

• Design and deploy intelligent agents to automate complex business workflows.
• Leverage ADK to build and manage multi-agent systems that collaborate to solve end-to-end challenges.
• Connect agents to enterprise data sources like BigQuery and Spanner via MCP Toolbox.
• Ground AI models in live business context using vector engines within BigQuery/ AlloyDB.

Tools

Vertex AI Mastery

BigQuery

Python (ML)

Dataflow

Cloud Storage

Vertex AI Endpoints

Job description

MethodHub is seeking a highly skilled Artificial Intelligence Engineer to design and deploy intelligent agents integrated with business data to drive trust and operational efficiency. This role emphasizes hands-on design of agentic architectures, end-to-end implementation, and proactive collaboration with cross-functional teams to translate business goals into scalable technical solutions.

Ideal candidates combine cloud data engineering with ML optimization and a strong privacy mindset for