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Senior Forward Deployed Engineer, GenAI, Google Cloud
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$364k–$374k/yr
Full-time
bachelor degree, postgraduate degree
Bonus Target, Equity, Benefits
Posted 2h ago
~40 hrs/week
Responsibilities
Lead the development and deployment of production-grade agentic AI solutions directly within customer environments. Bridge the gap between frontier AI products and enterprise reality by solving integration, data, and state-management complexities.
Requirements
Requires a Bachelor's degree in Computer Science or Engineering and 5+ years of experience shipping production AI solutions using Python or Typescript. Must have expertise in cloud platforms, RAG architectures, and leading technical discovery sessions with stakeholders.
Full job description
Minimum qualifications:
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.
Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.
Preferred qualifications:
Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job:
As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment.
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for the Engineering teams.
Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to up-level organizational technical capabilities.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA