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Data and AI Consultant, Google Cloud Consulting

Google· Google Cloud Consulting
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Hybrid (Multiple US locations)$152k - $221kFull-timePosted 1w ago

About the role

Technical Solutions Consultant role focusing on data-to-AI platforms, generative AI, and enterprise-scale solutions for Google's largest advertising clients and product partners within Google Cloud Professional Services.

Responsibilities

  • Architect enterprise-scale, production-ready Data-to-AI platforms, advanced Retrieval-Augmented Generation (RAG) pipelines, semantic knowledge graphs, and vector databases using Vertex AI Vector Search to support scalable generative AI applications.
  • Lead end-to-end implementation of Google Cloud data platforms using BigQuery, Dataflow, Pub/Sub, and AlloyDB, building high-throughput batch and streaming pipelines that optimize complex query performance.
  • Design, build, and deploy autonomous AI agents and multi-agent coordination systems by leveraging the Vertex AI Agent Ecosystem, Reasoning Engine, and the Gemini foundation model family.
  • Implement agentic reasoning loops, memory systems, tool and API integrations, and robust AgentOps frameworks for continuous monitoring, tracing, evaluation, fine-tuning, latency optimization, cost control, and safety compliance.
  • Advise executive stakeholders on generative AI transformation, lead technical scoping and rapid prototyping workshops, and mentor engineering teams in modern Google Cloud Data and AI system architectures.

Qualifications

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 5 years of customer-facing experience as a Solutions Architect, Solution Engineer, or Software Engineer within a professional services or consulting environment.
  • Experience in building and managing data platforms (warehouses, lakes, streaming pipelines) on Google Cloud or another cloud provider.
  • Experience with Generative AI development, including working with Large Language Models (LLMs), API integrations, and RAG architectures.
  • Experience building and deploying production-grade full-stack applications (Python/Node.js backend, React/Angular frontend) and cloud-native solutions.

Skills

Required:Data platform architectureGenerative AI and LLMsFull-stack application development

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Last updated Oct 23, 2026. Interested? Apply on the company site.

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