Senior AI Architect/​Manager - Google Cloud Solutions

About the Role

Join our team as a Senior AI Architect/Manager specializing in Google Cloud solutions. In this remote role, you will lead the design and implementation of enterprise AI platforms, leveraging cutting-edge technologies to drive innovation and enhance client success. Your expertise will be pivotal in transforming technology platforms and optimizing operations for our clients.

What You'll Do

• Architect and deliver enterprise AI platforms and applications on Google Cloud using Vertex AI and Gemini, ensuring scalability, reliability, security, and cost-effectiveness.
• Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI, implementing deployment, inference optimization, and monitoring.
• Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector, implementing context management and retrieval strategies.
• Define end-to-end architectures across data pipelines, feature engineering, 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, and Terraform, enforcing application and agentic design patterns.
• Implement security and governance for AI/ML systems, addressing data privacy, model poisoning, and adversarial attacks.
• Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy and governance.
• Design and deploy applications using Cloud Native principles on a hyperscaler platform, leveraging various tools and services.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 8+ years' experience as a Software or Solution Architect, focusing on application development and scaling solutions for production environments.
• 5+ years hands-on experience with Google Cloud, including 2+ end-to-end enterprise implementations in production.
• 4+ years designing and implementing Google Cloud networks and security controls using Terraform.
• 3+ years building and operating containerized workloads on GKE.
• 3+ years implementing CI/CD and DevSecOps with Cloud Build or similar tools.
• 2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini.
• Deep understanding of AI/ML concepts and experience implementing multiple AI solutions in a professional environment.

Nice to Have

• Google Professional Machine Learning Engineer certification or equivalent.
• Master's degree in a technology-related discipline.
• Experience leading high-performance engineering teams delivering AI platforms.

What We Offer

• Competitive salary range of $144,600 to $241,000, commensurate with experience.
• Participation in a discretionary annual incentive program based on performance.
• Flexible remote work environment with opportunities for professional growth.
• Access to cutting-edge technologies and innovative projects.
• Comprehensive benefits package including health, wellness, and retirement plans.