Staff Datacloud Blackbelt Engineer, Data and AI

Google LLC

Kirkland, WA

JOB DETAILS
SKILLS
Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Blueprints, Cloud Computing, Code Reviews, Coding Standards, Computer Vision, Construction, Consulting, Data Management, Data Warehousing, Debugging Skills, Disability Insurance, Distributed Computing, Ecosystems, English Language, Enterprise Architecture, Equal Employment Opportunity (EEO), Financial Services, Genetics, Internet Security, Internet of Things, Leading Edge Technology, Life Insurance, Mandarin Chinese Language, Mechanical Engineering, Mentoring, Modeling Languages, Network Operations Center, Operations Security (OPSEC), Organizational Skills, Product Demonstration, Product Engineering, Programming Languages, Project/Program Management, Prototyping, Recruiting/Staffing Agency, Regulatory Requirements, SQL (Structured Query Language), Sales Management, Security Architecture, Six Sigma Black Belt, Software Development Lifecycle (SDLC), Software Engineering, Stock Purchase Plans, Technical Consulting, Technical Leadership, Writing Skills
LOCATION
Kirkland, WA
POSTED
29 days ago

Staff Datacloud Blackbelt Engineer, Data and AI - Google Careers

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Staff Datacloud Blackbelt Engineer, Data and AI

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corporate_fareGoogleplaceSunnyvale, CA, USA; Kirkland, WA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in software engineering, solution architecture, or technical consulting.
  • 2 years of experience with generative AI techniques (e.g., LLMs, multimodal, large vision models) or with generative AI-related concepts (e.g., language modeling, computer vision).
  • Experience writing production-level code in one or more programming languages.

Preferred qualifications:

  • 10 years of experience in software engineering, solution architecture, or technical consulting.
  • 6 years of experience designing and deploying cloud-native distributed systems, data pipelines, or AI/ML workflows in an enterprise environment.
  • 3 years of experience with SQL and modern data warehousing concepts.
  • 1 year of experience in prompt developing, model evaluation, and the creative application of AI.

About the job

In this role, you will be at the forefront of leading Google"s data and generative AI to solve real-world issues for customers. You will act as a partner in tandem with key customers, working to build, deploy, and optimize sophisticated Data and AI agents and solutions leveraging Google's first-class technologies. You will bridge the gap between powerful platform primitives and the cohesive, high-value solution enterprise demand. You will also bridge the gap between our core product engineering teams and customer needs. You will directly accelerate product innovation, customer success, disrupt the traditional Software Development Life-Cycle (SDLC), and shape the future of our Data and AI products.

You will operate on a "Co-Invest, Build, Codify" flywheel. You will embed with a select group of lighthouse customers to co-develop breakthrough solutions in real-world environments; rather than stopping at individual customer success, your primary mandate is to translate these engagements into scalable assets, delivering validated product prototypes to engineering and repeatable go-to-market blueprints to the field.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $266000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Act as the lead technical architect for incubation projects, while working to stitch Google's Data and AI primitives (e.g., Vertex AI, BigQuery, Gemini) into high-value solutions like agentic workflows and new solutions.
  • Own the resolution of ambiguous hurdles that prevent adoption and debug integration issues, optimize inference latency, and architect security layers to turn "demos" into production-ready assets.
  • Drive the "codify" phase by transforming bespoke solutions into reusable assets, author "golden path" code repositories and reference architectures to enable the broader ecosystem to scale your work.
  • Provide direction and mentorship to the squad's builder engineers, while establishing coding standards, review architectural designs, and ensure the team delivers high-quality, secure software.
  • Partner with customer Chief Technology Officers (CTOs) and chief data officers to validate technical feasibility and align our proposed architectures with their existing enterprise stacks.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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