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Ecosystem Engineering Lead, AI and AI Platforms, Google Cloud

Google· Google Cloud
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Hybrid (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)$233k - $324kFull-timePosted 3d ago

About the role

Lead a dedicated team focused on AI and Agentic AI Platforms, serving as a Generative AI subject matter expert and collaborating with Partners, Product Development, and Technical Sales to deliver Google Cloud AI products and solutions.

Responsibilities

  • 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.

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).

Skills

Required:Technical advisoryAI/Agentic platformsPartner engagement

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing 6.15 hours per pay period for the first five years
  • 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
Last updated Oct 23, 2026. Interested? Apply on the company site.

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