Technical Solutions Consultant

Google Google · Big Tech · Addison, TX +1

This role is a Technical Solutions Consultant at Google Cloud, focusing on advising customers on cloud solution implementations. While it involves some experience with model deployment and fine-tuning, its core function is customer-facing technical consulting and solution architecture, not direct AI/ML model development or research.

What you'd actually do

  1. Advise customer technical leads, executives, and partners to manage and deliver successful cloud solution implementations, becoming a trusted advisor to key decision makers.
  2. Architect and manage the deployment of customized, cloud-based infrastructure solutions according to complex customer requirements and implementation best practices.
  3. Collaborate with internal Sales, Product, and Engineering teams to manage project scope, priorities, deliverables, and timelines for successful client outcomes.
  4. Develop best practices, repeatable methodologies, and published assets by synthesizing lessons learned from customer engagements for broader organizational use.
  5. Troubleshoot complex technical issues throughout the solution delivery lifecycle, coordinating with appropriate teams to ensure timely resolution and mitigate future risk.

Skills

Required

  • Computer Science, Engineering, Mathematics or a related field
  • System architecture design using distributed patterns for cloud solutions
  • Container orchestration with Kubernetes including GKE or EKS
  • DevOps practices for system automation or CI/CD pipeline management
  • Model deployment and fine-tuning using python and machine learning libraries such as PyTorch, TensorFlow, Scikit-learn, or Keras
  • Customer-facing migration planning and execution or enterprise cloud implementation

What the JD emphasized

  • System architecture design using distributed patterns for cloud solutions
  • Container orchestration with Kubernetes including GKE or EKS
  • DevOps practices for system automation or CI/CD pipeline management
  • Model deployment and fine-tuning using python and machine learning libraries such as PyTorch, TensorFlow, Scikit-learn, or Keras
  • Customer-facing migration planning and execution or enterprise cloud implementation