Ecosystem Engineering Lead, AI and AI Platforms, Google Cloud

Google LLC; Austin (TX); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health, dental, vision, life, and AD&D

401(k) with company match

Paid time off: 20 days

Sick time: 40 hours/year

Maternity leave: 28-30 weeks

Baby bonding leave: 18 weeks

13 paid holidays

Job summary

Google LLC is seeking a senior technical architect to drive multiyear AI roadmaps with partners, leading AI and agentic initiatives and delivering end-to-end solutions using Google Generative Language APIs. You will bridge technical execution with business strategy, collaborating across product, engineering and customer teams.

The role emphasizes leadership in cross-functional settings, cloud infrastructure expertise, and a strong background in AI products and ML frameworks, with focus on

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years as a technical Solution Architect in cloud computing, customer/partner facing.
• 5 years with LLMs, agentic workflows, open source, big data, ML, numerical programming frameworks.
• 5 years with AI products, technologies, and infrastructure.
• Experience bridging technical implementation with business strategy.

Responsibilities

• Serve as trusted technical advisor to partner executives, aligning multiyear AI roadmaps.
• Lead AI and agentic activities with strategic partners, including executive briefings and use-case prioritization.
• Identify business opportunities with partners and lead multidisciplinary teams to deliver proofs of concept and demos.
• Collaborate with product management and engineering to enable partner success and build products using Google Generative Language APIs.
• Recommend integration strategies and architectures for robust, cloud-based solutions.

Skills

Technical Solution Architect

Large Language Models (LLMs)

Agentic frameworks

AI products & infrastructure

Education

Bachelor's degree in CS/Math/Engineering

Master's degree in CS or related field

Job description

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 (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

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

The application window will be open until at least November 06, 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: Sunnyvale, CA, USA; Kirkland, WA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA.

Minimum qualifications

• Bachelor's degree in Computer Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 10 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment in customer/partner facing roles.
• 5 years of experience with Large Language Models (LLMs), Agentic frameworks, Agentic workflows, Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• 5 years of experience with AI products, technologies, and infrastructure.
• Experience in a role bridging technical implementation with business strategy (e.g., Partner Architect, Technical PM, or Principal Consultant).

Preferred qualifications

• Master's degree in Computer Science or a related technical field. Experience architecting and developing software or infrastructure for scalable, distributed systems with ML technologies.
• Experience building AI and ML solutions, operation frameworks like Kubeflow, and leveraging specific ML architectures.
• Understanding of AI Models, Large Language Models, AI agents, AI Agentic workflows, AI specialized infrastructure, and responsible AI practices.
• Ability to lead cross-functional teams and deliver end to end solutions to customers/partners.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies and solutions, including leading a team of Ecosystem Engineers.

About The Job

The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $233000 - $324000 (USD) + 25% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Serve as a trusted technical advisor to partner executive leadership, including CTOs and Chief Product Officers, aligning multiyear AI roadmaps and exploring advanced technical possibilities.
• Lead AI and agentic activities with strategic partners, including executive briefings, ideation, identification of priority use cases, conversion, and comprehensive value realization with Google AI and Agentic platforms.
• Identify and qualify business opportunities with partners, comprehend key technical objections, and lead multidisciplinary teams to deliver proof of concepts, custom solution demos, and Generative AI joint innovation.
• Partner with product management, engineering, solution management, and Customer Engineering teams to enable partner success, helping developers, creators, and enterprises build products using Google Generative Language APIs.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement and deploy complete, robust solutions using best practices on Google Cloud.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .