Data and AI Consultant, Google Cloud Consulting

Google; Boulder (CO); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

13 paid holidays

Job summary

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

You will design and build data-to-AI ecosystems, guide product strategy, and prioritize projects for scalable, secure, and production-ready solutions within Google Cloud PSO in the US.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5 years of customer-facing experience in Solutions Architecture, Solution Engineering, or Software Engineering.
• Experience building data platforms (warehouses, lakes, streaming pipelines) on Google Cloud or another cloud provider.
• Experience with Generative AI development, including LLMs, API integrations, and RAG architectures.
• Experience building production-grade full-stack apps (Python/Node.js backend, React/Angular frontend) and cloud-native solutions.

Responsibilities

• Architect enterprise-scale Data-to-AI platforms and RAG pipelines for large advertising clients.
• Lead end-to-end implementation of Google Cloud data platforms with BigQuery, Dataflow, Pub/Sub, and AlloyDB.
• Design and deploy autonomous AI agents and multi-agent coordination systems using Vertex AI Agent Ecosystem and Gemini.
• Implement agentic reasoning loops, memory systems, tool integrations, and AgentOps for monitoring and safety.
• Advise executives on generative AI transformations and mentor engineering teams in modern Google Cloud architectures.

Skills

Customer-facing experience

Generative AI

Data platforms

Full-stack development

Cloud architectures

Education

Bachelor's degree in Computer Science or related field

Tools

Vertex AI

BigQuery

Dataflow

Pub/Sub

Terraform

Job description

The application window will be open until at least October 27, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, 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

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

Minimum 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.

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.

About The Job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

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 cutting-edge 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.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.