VibeCodeCareers 
On-site, Austin, Texas, senior-level role at Google Public Sector. This position focuses on leveraging AI and ML to support government and educational institutions in their digital transformations. The role involves technical advocacy, problem-solving, and developing cloud solutions.
Skills / Requirements
- AI/ML Expertise
- C++
- Cloud Solutions
- Conversational AI
- Document AI
- Enterprise Integration
- Google Cloud
- Image AI
- Java
- Large Language Models
- Machine Learning Templates
- Problem Solving
- Python
- RAG
- Security Clearance
- Stakeholder Influence
- Technical Architecture
- Technical Communication
- Vibe Coding
Why Apply
This role is ideal for those skilled in vibe coding, with experience in AI/ML frameworks and conversational AI technologies. You'll leverage tools like ML APIs and agent tooling to create innovative solutions on Google Cloud.
What You'll Be Doing
You'll work closely with sales teams to address technical challenges faced by customers, develop cloud architectures, and demonstrate AI/ML solutions. Your day involves engaging with customers, troubleshooting, and collaborating with internal teams to enhance Google Cloud offerings.
Working in Austin, Texas
- Austin is a growing tech hub with a vibrant startup scene and established tech companies.
- The city offers a relatively lower cost of living compared to other major tech cities like San Francisco.
- Austin is known for its live music scene, outdoor activities, and cultural events, making it a lively place to live.
- Public transportation and bike-friendly infrastructure make commuting manageable in Austin.
Pay and Career Growth
The role offers a competitive salary range of $153,000 to $222,000, plus bonus and equity. Google emphasizes a culture of innovation and collaboration, providing opportunities to work on high-impact projects in the public sector.
Benefits and Perks
- benefits
- Bonus
- competitive salary
- Equity
Is This Role Right for You?
Good fit if you...
- Experienced in designing cloud-native architectures and AI solutions.
- Comfortable working in customer-facing roles and influencing stakeholders.
- Proficient in coding languages like Java, C++, or Python.
May not be for you if...
- Lacks experience in AI/ML technologies and frameworks.
- Uncomfortable with public speaking or technical presentations.
- Prefers remote work over on-site roles.
Original Job Description
Practice Customer Engineer, Applied AI, Google Public Sector
corporatefare_ Google place Atlanta, GA, USA; Austin, TX, USA; +4 more; +3 more
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
infooutline_
XThe application window will be open until at least June 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Reston, VA, USA; Sunnyvale, CA, USA .
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
10 years of experience with designing cloud-native enterprise-grade technical architecture in customer-facing or support roles.
Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, evaluation frameworks, and modern AI frameworks, and embedding into demos.
Experience with Conversational AI technologies, including designing conversational flows/agents and operating Speech-to-Text, Text-to-Speech (STT/TTS).
Ability to obtain a Secret security clearance.
Preferred qualifications:
Experience with building conversational applications and integrating it with third-party tooling (e.g., CRM, ticketing, telephony platforms).
Experience coding in Java, C++, or Python and 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.
About the job
As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.
Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You will deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
Google Public Sector (https://about.google/intl/ALL_us/public-sector/#:~:text=We) brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
