Data and AI Consultant, Google Cloud Consulting

By applying to this position you may share your preferred working location from the following: Chicago, IL, USA; Austin, TX, USA; Boulder, CO, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

About the job

As a Data and AI Consultant within the Google Cloud Professional Services Organization (PSO), you will be the cornerstone of customers' digital transformation, designing and building the data-to-AI ecosystems that power everything from enterprise-wide analytics to cutting-edge generative AI and autonomous agentic systems. You will lead technical delivery, serving as a trusted advisor who architects and builds scalable, secure, and future-proof full-stack data and AI solutions. Your role requires deep expertise in data architecture, software engineering, and modern generative AI frameworks, enabling customers to not only manage their data but to develop and deploy production-grade agentic workflows, multi-agent systems, and cognitive architectures.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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 comprehensive 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.

Requirements

• 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.

Preferred Qualifications

• Experience with CI/CD, IaC (Terraform), containers (Docker, GKE, Cloud Run), and agent evaluation/tracing.
• Expertise designing autonomous multi-agent frameworks, cognitive workflows, and orchestrators (Vertex AI Agent Builder, Gemini Enterprise).
• Proficient across Google Cloud data/AI services (Vertex AI, BigQuery, Dataflow, Spanner, Firestore, Vector Search).
• Proven stakeholder management, advising C-level leaders, facilitating architecture workshops, and driving client enablement.
• Track record leading delivery teams, architecting enterprise software, and executing cloud modernizations.

Benefits

• Health, dental, vision, life, and disability insurance.
• Retirement Benefits: 401(k) with company match.
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment.
• 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.

Pay

US: $152,000 - $221,000 (USD) + 15% bonus target + equity + benefits.