AI Customer and Partner Solutions Engineer, Cloud Applied AI
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- 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
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.
- 3 years of experience writing code in one or more programming languages (e.g., Python, Java).
- Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks.
- Experience with conversational AI frameworks (LangChain, Agent Development Kit) and enterprise contact center technologies (Genesys, Twilio).
Preferred qualifications:
- Master's degree in Engineering, Computer Science, or a related technical fields.
- Experience building and scaling complex production systems, working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.
- Experience with telecom customer deployments and other similar industries.
- Experience in technical consulting, navigating the governance, security, and procurement complexities.
- Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP).
- Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.
About the job
The Applied AI (AAI) team powers business growth with agentic AI. Our portfolio includes Gemini for Customer Experience along with vertical and domain-packaged solutions. We enable high adoption and speed to value by building solutions that deploy rapidly, delivering 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders and engineering. Join us to shape the future of AI-driven customer experience in a fast-paced, collaborative, and high-impact environment.
As a AI Customer and Partner Solutions Engineer across multiple customer deployments, you are a high-visibility multiplier responsible for turning the promise of Agentic AI into production reality for Google’s most strategic global customers. You sit at the nexus of Product, Engineering, and the Customer, translating complex business friction into elegant, reasoning-based AI solutions.
In this role, you contribute to the end-to-end delivery of agentic solutions, working with a group of deployment specialists to implement best practices for delivering at scale and velocity. You are a builder, a strategic systems thinker, and a master of navigating complex technical and business challenges. You will be working with a group of deployment specialists while simultaneously incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem.
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 - $265000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Contribute to 0-to-1 solution engineering, architecture design, and debugging for complex agentic workflows.
- Be able to stress-test features to influence product roadmaps and implement evaluation frameworks.
- Pioneer architectural frameworks and authors reusable technical assets.
- Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.
- Mitigate high-stakes customer escalations, providing debugging and direct architectural guidance to customer engineering and C-suite teams.
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