Enterprise Data & AI Solutions Architect

Google; Seattle (WA); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off: 20 days/year

Job summary

Google Cloud PSO is seeking a Technical Solutions Consultant to own the technical relationship with our largest advertising clients and product partners. You will guide cross-functional teams across Engineering, Sales, and Product Management to leverage emerging data-to-AI technologies, from concept to deployment and support.

The role focuses on building scalable data and AI solutions, with production-grade agentic workflows and cognitive architectures, while balancing business and technical

Qualifications

• Bachelor's degree in Computer Science, related field, or equivalent experience.
• 5 years of customer-facing experience as Solutions Architect, Solution Engineer, or Software Engineer in professional services/consulting.
• Experience building and managing data platforms on Google Cloud or other clouds.
• Experience with Generative AI development, LLMs, API integrations, and RAG architectures.
• Experience building and deploying production-grade full-stack apps (Python/Node.js backend, React/Angular frontend).

Responsibilities

• Architect enterprise-scale Data-to-AI platforms and VA pipelines for clients.
• Lead end-to-end data platforms projects using BigQuery, Dataflow, Pub/Sub, AlloyDB.
• Design and deploy autonomous AI agents and multi-agent coordination systems.
• Implement agentic reasoning loops, memory systems, and tool integrations.
• Advise executives and mentor teams on modern Google Cloud Data/AI architectures.

Skills

Data platforms

Generative AI

Full-stack development

Education

Bachelor's degree

Tools

Terraform

Docker

GKE

Cloud Run

Vertex AI

Job description

Google Cloud PSO is seeking a Technical Solutions Consultant to own the technical relationship with our largest advertising clients and product partners. You will guide cross-functional teams across Engineering, Sales, and Product Management to leverage emerging data-to-AI technologies, from concept to deployment and support.

The role focuses on building scalable data and AI solutions, with production-grade agentic workflows and cognitive architectures, while balancing business and technical