Customer Engineer III, Applied AI, Google Cloud

Role

The Applied AI Customer Engineer will act as a technical lead and subject matter expert in Conversational and Generative AI for Google Cloud. You will design resilient, cloud-native architectures, build rapid proofs-of-concept and MVPs, integrate AI solutions with enterprise systems, and present technical and business value to both technical stakeholders and executive leadership.

Key Responsibilities

• Serve as a trusted technical advisor to prospective and existing customers, explaining features and designing cloud-based architectures.
• Provide guidance on integrating AI solutions with enterprise data stacks and third-party systems (e.g., CRM, ticketing, telephony).
• Lead rapid development of proofs-of-concept (PoCs) and minimum viable products (MVPs) to demonstrate Google Cloud Applied AI capabilities.
• Troubleshoot technical roadblocks, recommend end-to-end integration strategies, and tune application performance.
• Collaborate with product management and engineering to prioritize customer-driven enhancements and advocate technology internally and externally.
• Present Applied AI solutions’ business value to executive leaders and represent Google Cloud at events.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience designing cloud-native, enterprise-grade technical architectures in customer-facing or support roles.
• 1 year of experience with Conversational AI technologies, including designing conversational flows/agents and operating Speech-to-Text and Text-to-Speech systems.
• Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, eval frameworks, and embedding AI into demos.
• Experience engaging with and presenting to both technical stakeholders and executive leadership.

Preferred Qualifications

• Experience building conversational applications and integrating with third-party tooling (CRM, ticketing, telephony platforms).
• Experience coding in Java, C++, or Python and experience with “vibe coding.”
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), machine learning templates, and document/image AI.
• Understanding of modern development methodologies and application performance tuning.

Benefits & Compensation

• Health, dental, vision, life, and disability insurance
• 401(k) with company match
• 20 days of vacation per year (accrual rate noted) and 13 paid holidays per year
• Sick time: 40 hours/year (statutory where applicable)
• Maternity leave (Short-Term Disability + Baby Bonding): 28–30 weeks; Baby bonding leave: 18 weeks
• Base salary range (US): $174,000 - $252,000 plus bonus, equity, and benefits

Locations

Candidates may indicate a preferred working location from: New York, NY; Chicago, IL; Seattle, WA; Sunnyvale, CA.