Cloud Consultant, AI/ML, Professional Services, Google Cloud
Role details
Job location
Tech stack
Job description
- Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, be a trusted advisor to decision makers throughout the engagement.
- Design solutions and manage the development and deployment of cloud based machine learning solutions according to complex customer requirements and implementation best practices.
- Work with internal specialists, Product, and Development teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
- Travel 15% of the time for client engagements.
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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/) .
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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.
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Requirements
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in Computer Science, or equivalent practical experience.
- 5 years of experience delivering technical solutions, product management, or similar.
- Experience in one or more discipline areas such as training custom AI/ML models, building agentic solutions, or MLOperations..
- Experience with technical client service (e.g. consulting)., * Experience in systems design.
- Experience in statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
- Experience designing and deploying agents, including building Retrieval-Augmented Generation (RAG) solutions, leveraging vector search, and technologies such as Agent-to-Agent (A2A) and Model Context Protocol (MCP) for multi-agent collaboration and dynamic tool integration.
- Ability to explain model architectures, data analysis, feature engineering, and agent design patterns.
- Excellent communication, presentation and problem-solving skills.
Benefits & conditions
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year, 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/) .
