Staff Forward Deployed Engineer, Google Cloud Consulting
Dublin, Leinster, Ireland · On-site
$122k–$125k/yr
Senior$26M raised
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Staff Software Engineer, Site Reliability Engineering, Alphanet SRE
Dublin, Leinster, Ireland · On-site
$150k–$153k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree in Computer Science, a related field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages. 3 years of experie…
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$122k–$125k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 13d ago
~40 hrs/week
Responsibilities
You will serve as an embedded developer building and deploying production-grade agentic AI solutions directly within customer environments. Additionally, you will act as a feedback loop to translate field insights into product improvements for Google Cloud's AI stack.
Requirements
Candidates must have a bachelor's degree in a technical field and at least 5 years of software development experience using Python. Proficiency in architecting AI systems on cloud platforms and building data pipelines for enterprise AI solutions is required.
Full job description
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.
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.
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
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