Staff Forward Deployed Engineer, Google Cloud Consulting

Google; Dublin; On-site; EUR 122,000 - 125,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Cloud Consulting seeks a Forward Deployed Engineer to bridge frontier AI products with production-grade reality at customer sites. You will code, debug, and ship bespoke agentic solutions within client environments, embracing an entrepreneur’s mindset.

You will lead the delivery of enterprise AI solutions, collaborating with cross-functional teams, and leveraging Google’s AI portfolio, including Gemini models and Vertex AI, to drive customer success.

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• 5 years of software development experience with Python or similar languages.
• Experience building pipelines for structured/unstructured data using vector databases and RAG-like architectures for enterprise AI.
• Experience taking AI-driven solutions from concept to production on cloud platforms (Google Cloud Platform).
• Experience leading technical discovery sessions with customers.

Responsibilities

• Develop complex AI applications transitioning from rapid prototypes to production-grade agentic workflows.
• Architect and code the integration between Google’s AI products and customers’ live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and create reusable modules or feature requests for engineering teams.
• Collaborate with pre-sales and product teams to promote Google-grade development practices.

Skills

Python

AI deployment

Cloud platforms

Data pipelines

Vector databases

RAG architectures

Multi-agent systems

LLM metrics

Travel regionally

Languages (French/German)

Customer discovery

Technical leadership

Education

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

Master’s degree or PhD in AI, Computer Science, or a related technical field.

Job description

Staff Forward Deployed Engineer, Google Cloud Consulting

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or similar coding languages.
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience leading technical discovery sessions with customers.

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, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Ability to travel regionally to engage with local stakeholders and customers.
• Ability to communicate in French, German or other European languages (e.g., Spanish, Italian) fluently to support client relationship management in this region.

About the job

As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address 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 complex 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.

Ireland: €122000 - €125000 (EUR) + 15% bonus target + equity + benefits

benefits at Google.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
• Architect and code the "connective tissue" between Google’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

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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.