> Markdown version of [/jobs/ext/1994575-google-ai-architect](https://www.wearedevelopers.com/jobs/ext/1994575-google-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Google AI Architect

- **Company:** Deloitte T.T.L.
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Cloud Database, Continuous Integration, Software Design Patterns, Github, Machine Learning, Search Technologies, Software Deployment, Software Engineering, Google Cloud, Autoscaling, Large Language Models, Build Server, Containerization, AI Platforms, Information Technology, Google Cloud Functions, Machine Learning Operations, Terraform, Data Pipelines, Devsecops, Jenkins, Microservices
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/google-ai-architect-chicago-il-usa-58857304

## About the Role

Cloud data pipelines, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build. * Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce design patterns. * Implement security and governance for AI/ML systems, including data privacy, model poisoning, and adversarial defense; apply Gemini safety features. Tasks * Bachelor's degree in Computer Science, Engineering or a related technical field * 6+ years as a Software or Solution Architect with production-scale application development * 5+ years hands-on Google Cloud experience with 2+ end-to-end enterprise deployments * 4+ years Terraform for Google Cloud networks, security controls, landing zones * 2+ years operating containerized workloads on GKE (autoscaling, ingress, observability) * 2+ years CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins * 3+ years executing migration or modernization programs to Google Cloud

 * 2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ year production deployment * Deep understanding of AI/ML concepts, LLMs in enterprise settings * Security considerations for AI/ML systems (data privacy, adversarial threats) * Familiarity with hyperscaler tools; Hyperscaler Architect certification required Key requirements *

## Description

Experteer Overview As a Google AI Architect in Deloitte's AI & Engineering team, you will design and deliver enterprise AI platforms on Google Cloud, accelerating client transformation. You will work with cross-functional teams to scale AI solutions, ensure security and governance, and drive modernization of data and technology platforms. You'll shape architecture, deploy GenAI-powered applications, and implement scalable MLOps practices. This role offers impact across clients, from improving operations to enabling new digital ventures. Compensation / Benefits * Architect and deliver enterprise AI platforms on Google Cloud using Vertex AI and Gemini with a focus on scalability, reliability, security, and cost. * Design and govern LLM solutions, deployment, inference optimization, and monitoring for production readiness. * Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery Vector; manage context, retrieval, and observability. * Define end-to-end architectures across data pipelines, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build. * Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce design patterns. * Implement security and governance for AI/ML systems, including data privacy, model poisoning, and adversarial defense; apply Gemini safety features. Tasks * Bachelor's degree in Computer Science, Engineering or a related technical field * 6+ years as a Software or Solution Architect with production-scale application development * 5+ years hands-on Google Cloud experience with 2+ end-to-end enterprise deployments * 4+ years Terraform for Google Cloud networks, security controls, landing zones * 2+ years operating containerized workloads on GKE (autoscaling, ingress, observability) * 2+ years CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins * 3+ years executing migration or modernization programs to Google Cloud * 2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ year production deployment * Deep understanding of AI/ML concepts, LLMs in enterprise settings * Security considerations for AI/ML systems (data privacy, adversarial threats) * Familiarity with hyperscaler tools; Hyperscaler Architect certification required Key requirements *


## Related Videos

- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow)
- [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)