Data & AI Cloud Architect—Solutions Consultant

Google Inc.; Chicago, Austin (IL, TX); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Sick time

Job summary

Google Cloud Consulting invites a Data and AI Consultant to lead technical delivery for large advertisers and partners. You will guide cross-functional teams and architect scalable data-to-AI platforms using Vertex AI, BigQuery, and Dataflow to support high-impact AI applications.

As part of the PSO, you will build production-grade agentic workflows, mentor engineers, and shape project strategy while balancing business needs with technical constraints.

Qualifications

• Bachelor's degree in CS or related field.
• 5 years of customer-facing experience as Solutions Architect or similar.
• Experience building data platforms on Google Cloud or other clouds.
• Experience with Generative AI development, LLMs, APIs, and RAG.
• Experience building production-grade full-stack apps (Python/Node.js, React/Angular).

Responsibilities

• Architect enterprise-scale Data-to-AI platforms and pipelines.
• Lead end-to-end implementation of Google Cloud data platforms.
• Design and deploy autonomous AI agents and multi-agent systems.
• Build agentics and tooling for monitoring, tracing, and cost control.
• Advise executives on generative AI transformation and mentor teams.

Skills

Data platforms

Generative AI

Full-stack development

Cloud architecture

Stakeholder management

Solution architecture

Education

Bachelor's degree in Computer Science

Tools

Vertex AI

BigQuery

Dataflow

Pub/Sub

GKE / Cloud Run

Job description

Google Cloud Consulting invites a Data and AI Consultant to lead technical delivery for large advertisers and partners. You will guide cross-functional teams and architect scalable data-to-AI platforms using Vertex AI, BigQuery, and Dataflow to support high-impact AI applications.

As part of the PSO, you will build production-grade agentic workflows, mentor engineers, and shape project strategy while balancing business needs with technical constraints.