Gcp Ai Solution Architect

PwC PricewaterhouseCoopers GmbH

Toronto, Canada
Base: $112,400 - $162,400; bonus/equity: not speci...
Hybrid
Gcp ai solution architect
Generative ai expertise
Vertex ai, gemini enterprise, agent engine, kubeflow pipelines
Design, develop, and provide guidance on next-generation MLOps and GenAI platforms for clients, ensuring seamless integration and efficient operation of machine learning and generative AI models

Job Summary

  • Design, develop, and provide guidance on next-generation MLOps and GenAI platforms for clients, ensuring seamless integration and efficient operation of machine learning and generative AI models.
  • Implement and manage Vertex AI, Gemini Enterprise, Agent Engine, and Kubeflow pipelines to automate model training, validation, and deployment processes for both traditional ML and generative AI workloads.
  • Collaborate with data scientists, software engineers, and DevOps teams to integrate machine learning and generative AI workflows into the broader technology ecosystem.

Matching Summary

Design, develop, and provide guidance on next-generation MLOps and GenAI platforms for clients, ensuring seamless integration and efficient operation of machine learning and generative AI models.

Salary

Base: $112,400 - $162,400; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • GCP AI Solution Architect
  • Generative AI expertise
  • Vertex AI, Gemini Enterprise, Agent Engine, Kubeflow pipelines
  • MLOps and GenAI platforms
  • Python proficiency
  • Google Cloud Platform (GCP) experience

Nice-to-have

  • containerization technologies
  • other MLOps tools and frameworks
  • multimodal AI applications
  • AI agents for autonomous task completion
  • data engineering and data pipeline tools
  • data governance, AI ethics, and compliance
  • monitoring and logging tools
  • responsible AI practices

Key Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Proven experience as an MLOps Engineer or ML Platform Developer
  • Hands-on experience with generative AI technologies
  • Solid understanding of machine learning lifecycle
  • Familiarity with CI/CD tools and practices

Work Rights

Not specified

Tailored Resume

Cover Letter