Customer Engineer III, Applied AI, Google Cloud
Explicitly requires vibe coding skills; role involves building conversational AI prototypes and integrating AI tooling for rapid demos.
About the Role
As an Applied AI Customer Engineer III on Google Cloud, you will provide technical leadership in Conversational AI, design scalable cloud-native architectures, and partner with Sales to build proofs-of-concept and production solutions that help customers adopt Google Cloud’s generative AI offerings.
Job Description
Role
As an Applied AI Customer Engineer III on Google Cloud, you will accelerate customer adoption of Conversational AI and generative AI solutions by designing resilient, cloud-native architectures, building rapid proofs-of-concept and MVPs, and advising technical and executive stakeholders. You will partner with Sales, product management, and engineering to demonstrate Google Cloud solutions and advocate for product directions.
Key Responsibilities
- Serve as a trusted technical advisor to prospective and existing customers, explaining technical 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 PoCs and MVPs to demonstrate Google Cloud Applied AI capabilities, troubleshoot technical roadblocks, and recommend end-to-end integration strategies.
- Collaborate with product management and engineering to prioritize customer-driven solutions and share AI expertise through briefings and advocacy.
- Present business value of Applied AI solutions to executive leaders and represent Google Cloud at conferences and industry events.
Minimum Qualifications / Requirements
- 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, evaluation frameworks, and embedding modern AI frameworks into demos.
- Experience engaging with and presenting to both technical stakeholders and executive leadership.
Preferred Qualifications
- Experience building conversational applications and integrating them 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.
Locations
- Candidate may indicate preferred working location: New York, NY; Chicago, IL; Seattle, WA; or Sunnyvale, CA (USA).
Compensation
- US base salary range: $174,000 - $258,000 (base only). Position also includes bonus, equity, and benefits.
Benefits (summary)
- Health, dental, vision, life, and disability insurance
- 401(k) with company match
- 20 days vacation per year (accrual details provided)
- Sick time (40 hours/year where applicable)
- Maternity leave (Short-Term Disability + Baby Bonding): 28–30 weeks
- Baby bonding leave: 18 weeks
- 13 paid holidays per year
Tech Stack
Skills
Experience Level
Salary
USD 174,000 - 258,000/year
Employment Type
Benefits
- •Health insurance
- •Dental insurance
- •Vision insurance
- •Life insurance
- •Disability insurance
- •401(k) with company match
- •20 days vacation per year
- •40 hours sick time per year
- •Maternity leave (28-30 weeks)
- •Baby bonding leave (18 weeks)
- •13 paid holidays per year
- •Bonus
- •Equity
- •Comprehensive benefits package for eligible US employees