AI-Data Consultant, Professional Services, Cloud - Chicago, IL, USA
3 days ago
Job description
info_outlineXThe application window will be open until at least February 20, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA.Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 3 years of experience in project management and technical solution delivery.
- Experience architecting, developing, or maintaining technical solutions in virtualized environments.
- Experience in systems design and architecting or explaining systems interactions, including data flows, common interfaces, APIs, and methods.
Preferred qualifications:
- Experience designing large Data & AI platforms that explicitly support the entire machine learning lifecycle, from data sourcing and feature engineering to model training and inference.
- Experience building data pipelines that integrate with ML orchestration tools like Vertex AI Pipelines, Kubeflow, or similar platforms.
- Experience with advanced architectural patterns such as Data Mesh, Data Fabric, and the design of autonomous data agents.
- Strong understanding of MLOps principles.
- Deep expertise in Google Cloud's data stack or equivalent (e.g., BigQuery, Dataflow, Composer, Spanner, Pub/Sub).
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As an AI-Data Consultant/Architect within the Google Cloud Professional Services Organization (PSO), you will be the cornerstone of our customers' digital transformation, designing the data ecosystems that power everything from enterprise-wide analytics to cutting-edge generative AI. You will be a trusted advisor who architects and builds scalable, secure, and future-proof data foundations. This role requires a strong vision for how to bridge the gap from data to AI, enabling customers to not only manage their data but to activate it for intelligent applications.
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.
The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Lead implementation of end-to-end data platforms on GCP using BigQuery, Dataflow, Pub/Sub, etc. Build petabyte-scale ingestion (batch & streaming) pipelines and optimize query performance.
- Advise C-level and technical stakeholders on data strategies aligning with business and AI goals.
- Serve as the lead technical authority on data architecture, cloud-native best practices, and modernization strategy.
- Deliver discovery and design workshops to upskill customer teams and drive adoption of AI-ready architectures on Google Cloud. Advise on modern patterns such as Graph/RAG, data agents, Data/ML/AgentOps, etc.
- Design robust Google Cloud data platforms (lakes, warehouses, governance) for analytics, AI/ML and Agentic workloads. Architect end-to-end data-to-AI workflows, covering ingestion, feature engineering, model training, and inference.
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