Gcp Ai Solution Architect

PwC

Base: $112,400 - $162,400; bonus/equity: variable ...
Hybrid
Vertex ai implementation and management
Generative ai and large language models
Kubeflow pipelines automation
PwC is seeking a GCP AI Solution Architect with expertise in generative AI and experience with technologies such as Vertex AI and Kubeflow. The role involves designing and developing MLOps and GenAI platforms, collaborating with teams to integrate machine learning workflows, and ensuring responsible AI practices

Job Summary

  • At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
  • As a GCP AI Solution Architect with Generative AI specialization, you'll work as part of a team of problem solvers, helping to solve complex business issues, deliver high quality client service and operational efficiency.
  • PwC Canada is committed to cultivating an inclusive, hybrid work environment and offers a competitive compensation package, inclusive benefits, and flexibility programs to help you thrive in work and life.

Matching Summary

Match Score: 85

PwC is seeking a GCP AI Solution Architect with expertise in generative AI and experience with technologies such as Vertex AI and Kubeflow. The role involves designing and developing MLOps and GenAI platforms, collaborating with teams to integrate machine learning workflows, and ensuring responsible AI practices.

Salary

Base: $112,400 - $162,400; Bonus/Equity: Variable incentive pay programs; Benefits: Inclusive benefits and flexibility programs

Skills & Requirements

Must-have

  • Vertex AI implementation and management
  • Generative AI and large language models
  • Kubeflow pipelines automation
  • Google Cloud Platform expertise
  • MLOps infrastructure design and troubleshooting
  • Python programming proficiency

Nice-to-have

  • Containerization with Docker and Kubernetes
  • AI ethics and responsible AI practices
  • Data engineering and pipeline tools
  • Monitoring and logging tools experience
  • Collaboration with cross-functional teams
  • Prompt engineering and RAG patterns

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • Proven experience as MLOps Engineer or ML Platform Developer
  • Experience with generative AI technologies including LLMs
  • Proficiency in Python programming
  • Experience with Google Cloud Platform
  • Strong communication and collaboration skills

Work Rights

Not specified

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