Customer Engineer, Practice, Google Cloud, AI and Application Modernization

• Drive the technical win for complex Application Modernization, Infrastructure Modernization, and AI workloads within the Retail and Energy sectors.
• Lead development and prototyping to build functional, customer-tailored solutions that secure technical buy-in from customer domain experts (such as CTOs, CISOs, and Lead Architects).
• Partner with Account teams, Platform CEs, and Outcome CEs to lead highly technical conversations regarding how to integrate advanced modern architectures into legacy ecosystems.
• Advocate for and build with Google Cloud’s Artificial Intelligence (AI) and Machine Learning portfolios, ensuring local teams have the technical depth to deliver AI solutions with less dependency on external specialist groups.
• Serve as a liaison between complex customer deployments and Google Cloud's Practice GTM, Product Management, and Engineering organizations to resolve product blockers and shape future features.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud-native architecture in a customer-facing, consulting, or technical support role.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages (e.g., Python, Java, Go), debugging, or systems design.

Preferred qualifications:

• Experience selling or promoting technical solutions in Application Modernization (App Mod), Infrastructure Modernization (Infra Mod), and cloud migrations.
• Experience working with product and capacity teams to resolve complex technical blockers.
• Experience in developing and deploying solutions in a fluid, digital-native or startup environment.
• Experience in developing and deploying solutions in a fluid, digital-native or startup environment.
• Knowledge of Enterprise Performance Management (EPM) platforms and system architecture integrations.

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud-native architecture in a customer-facing, consulting, or technical support role.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages (e.g., Python, Java, Go), debugging, or systems design.