Google AI Architect, Vertex AI & Gemini Solutions
Overview
Google AI Architect role at Deloitte in Indianapolis driving enterprise AI transformation. You will architect and deliver AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scale, security, and cost. Collaborate with top talent to reimagine operations and modernize technology for global clients. Your work accelerates digital ventures and fuels growth through innovative AI-powered solutions.
What You'll Do9
- 1Architect enterprise AI platforms on Google Cloud using Vertex AI and Gemini, ensuring scalability, reliability, and security.
- 2Design and fine-tune LLM solutions with Gemini on Vertex AI, including prompt engineering, safety policies, and vector search.
- 3Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector with robust retrieval and observability.
- 4Define end-to-end architectures across data pipelines, model lifecycle, APIs, and CI/CD with Vertex AI Pipelines and Cloud Build.
- 5Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, and Terraform; enforce design patterns.
- 6Implement security and governance for AI/ML, addressing data privacy, model poisoning, and adversarial attacks.
- 7Integrate and fine-tune LLMs for production, focusing on deployment, inference, and monitoring performance.
- 8Collaborate with enterprise architects to align AI solutions with technical strategy and governance standards.
- 9Apply Cloud Native principles on hyperscalers like AWS, Azure, or GCP, leveraging containers and serverless functions.
Requirements9
- 16+ years as a Software or Solution Architect, with focus on production scaling.
- 25+ years hands-on with Google Cloud, including 2+ end-to-end enterprise implementations.
- 34+ years designing GCP networks, security, and landing zones using Terraform.
- 42+ years building containerized workloads on GKE with autoscaling and monitoring.
- 52+ years implementing CI/CD with Cloud Build, GitHub Actions, or Jenkins.
- 63+ years executing migration or modernization programs to Google Cloud.
- 72+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ year in production.
- 8Bachelor's degree in Computer Science or related field.
- 9Hyperscaler Architect certification required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect).
Salary Insight
$122 - $240k per year
Location
Required Skills
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