Data and AI Consultant, Cloud Consulting
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-08-28
Listing for:
Google
Full Time
position Listed on 2026-08-28
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
The application window will be open until at least September 4, 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
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.
- 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, Big Query, 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.
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…
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