Data & AI Solutions Architect — Cloud & Gen AI

Google; Austin (TX); Hybrid; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby Bonding Leave

13 paid holidays

Job summary

Google Cloud is seeking a Technical Solutions Consultant to own the technical relationship with our largest advertising clients and partners. You will lead cross-functional teams across Engineering, Sales, and Product Management to leverage emerging technologies for external clients/partners.

You will design, build, and deploy data-to-AI ecosystems, driving production-grade, scalable solutions that power enterprise analytics and generative AI workflows.

Qualifications

• Bachelor's degree in Computer Science, related field, or equivalent practical experience
• 5+ years of customer-facing experience as a Solutions Architect, Solution Engineer, or Software Engineer
• Experience in building and managing data platforms on Google Cloud or another cloud provider
• Experience with Generative AI development, LLMs, API integrations, and RAG architectures
• Experience building and deploying production-grade full-stack applications and cloud-native solutions

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
• Implement agentic reasoning loops, memory systems, tool integrations, and AgentOps frameworks
• Advise executives on generative AI transformation and mentor engineering teams

Skills

Data platforms

Generative AI

Full-stack apps

Cloud architecture

Stakeholder mgmt

Education

Bachelor's degree in CS

Tools

Vertex AI

BigQuery

Dataflow

Terraform

GKE

Job description

Google Cloud is seeking a Technical Solutions Consultant to own the technical relationship with our largest advertising clients and partners. You will lead cross-functional teams across Engineering, Sales, and Product Management to leverage emerging technologies for external clients/partners.

You will design, build, and deploy data-to-AI ecosystems, driving production-grade, scalable solutions that power enterprise analytics and generative AI workflows.