{"id":2492,"date":"2026-07-03T20:58:24","date_gmt":"2026-07-03T20:58:24","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/forward-deployed-engineer-iv-generative-ai-google-cloud-2\/"},"modified":"2026-07-03T20:58:24","modified_gmt":"2026-07-03T20:58:24","slug":"forward-deployed-engineer-iv-generative-ai-google-cloud-2","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/forward-deployed-engineer-iv-generative-ai-google-cloud-2\/","title":{"rendered":"Forward Deployed Engineer IV, Generative AI, Google Cloud"},"content":{"rendered":"

Forward Deployed Engineer IV, Generative AI, Google Cloud Overview<\/h2>\n\n\n\n\n\n\n\n\n
Company Name<\/strong><\/td>\nGoogle<\/td>\n<\/tr>\n
Job Role<\/strong><\/td>\nForward Deployed Engineer IV, Generative AI, Google Cloud<\/td>\n<\/tr>\n
Qualifications<\/strong><\/td>\nBachelor’s<\/td>\n<\/tr>\n
Category<\/strong><\/td>\nIT Jobs<\/td>\n<\/tr>\n
Job Type<\/strong><\/td>\nFull Time<\/td>\n<\/tr>\n
Location<\/strong><\/td>\nLondon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This role sits within Google Cloud\u00e2\u0080\u0099s go-to-market organization and focuses on helping customers turn generative AI ideas into working production systems. The position is for a highly hands-on engineer who can operate as an embedded technical partner, working directly inside customer environments to bridge the gap between advanced AI capabilities and the realities of enterprise deployment. The work is centered on building, debugging, and shipping bespoke agentic solutions, resolving the practical issues that often block AI programs from reaching production, and feeding real-world customer insights back into Google Cloud\u00e2\u0080\u0099s product direction.<\/p>\n

The team environment is described as highly collaborative and customer-facing, with access to Google\u00e2\u0080\u0099s broader AI ecosystem, including Gemini models and the Vertex AI platform. The role also connects closely with DeepMind engineering and research expertise, giving the engineer support when tackling difficult customer challenges. Google positions this as a high-agency role for someone with a founder-like mindset who is comfortable taking ownership, making decisions in ambiguous situations, and driving outcomes with strategic accounts.<\/p>\n

What you will do<\/h3>\n
    \n
  • Work as an embedded forward-deployed engineer who helps customers move generative AI solutions from early prototypes into reliable, production-ready systems.<\/li>\n
  • Build and ship custom agentic applications directly in customer environments, including coding, debugging, and solving integration problems on the ground.<\/li>\n
  • Go beyond high-level design work by implementing practical solutions that connect Google Cloud AI products to customer systems and workflows.<\/li>\n
  • Help remove the technical barriers that commonly prevent enterprise AI adoption, including integration complexity, data readiness gaps, and state-management challenges.<\/li>\n
  • Partner with strategic customers in a \u00e2\u0080\u009cwhite-glove\u00e2\u0080\u009d deployment model, while also capturing lessons from the field that can inform future Google Cloud product improvements.<\/li>\n
  • Develop AI applications that are intended to produce measurable business impact and clear return on investment.<\/li>\n
  • Design the technical layer that connects Google\u00e2\u0080\u0099s AI stack to customer infrastructure, including APIs, legacy data sources, and security controls.<\/li>\n
  • Build production-grade multi-agent workflows and related components such as Model Context Protocol servers.<\/li>\n
  • Create evaluation systems and observability tooling that help ensure AI agents meet demanding standards for accuracy, safety, and latency.<\/li>\n
  • Identify recurring customer needs, friction points, and implementation patterns, then translate them into reusable modules or formal requests for product and engineering teams.<\/li>\n
  • Work alongside customer engineering teams to promote strong engineering practices and support durable adoption of the solutions you help deliver.<\/li>\n<\/ul>\n

    What the role requires<\/h3>\n
      \n
    • A bachelor\u00e2\u0080\u0099s degree in engineering, computer science, a related field, or equivalent practical experience.<\/li>\n
    • At least eight years of experience in cloud computing or in a technical customer-facing role.<\/li>\n
    • Experience taking AI solutions from concept through launch in production, especially in cloud environments such as Google Cloud Platform.<\/li>\n
    • Experience architecting AI systems on cloud platforms and delivering production-grade AI-driven solutions.<\/li>\n
    • Experience building pipelines for structured and unstructured data, including work with vector databases and retrieval-augmented generation-style architectures for enterprise use cases.<\/li>\n
    • Experience leading technical discovery sessions with customers or internal stakeholders.<\/li>\n
    • Strong ownership of outcomes, comfort with ambiguity, and the ability to influence stakeholders effectively.<\/li>\n
    • Deep expertise in the relevant technical domain.<\/li>\n
    • Preferred: a master\u00e2\u0080\u0099s degree or PhD in AI, computer science, or a related technical area.<\/li>\n
    • Preferred: experience building multi-agent systems using frameworks such as LangGraph, CrewAI, or ADK.<\/li>\n
    • Preferred: familiarity with advanced agent patterns such as ReAct, self-reflection, and hierarchical delegation.<\/li>\n
    • Preferred: knowledge of LLM-oriented performance and cost metrics, including tokens per second and cost per request.<\/li>\n
    • Preferred: experience improving state management and implementing detailed tracing for AI systems.<\/li>\n
    • English proficiency is required for all roles unless the posting explicitly says otherwise.<\/li>\n
    • Applicants must be able to choose a preferred working location from Dublin, Ireland or London, UK when applying.<\/li>\n<\/ul>\n

      Compensation and perks<\/h3>\n
        \n
      • For Ireland, the listed salary range is \u00e2\u0082\u00ac150,000 to \u00e2\u0082\u00ac154,000.<\/li>\n
      • The package includes a 20% bonus target.<\/li>\n
      • Equity is part of the compensation package.<\/li>\n
      • Google also provides benefits through its standard benefits offering.<\/li>\n
      • The role offers the opportunity to work with leading AI tools and models, including Gemini and Vertex AI.<\/li>\n
      • You will have direct access to DeepMind engineering and research expertise.<\/li>\n
      • The posting emphasizes a collaborative culture and the chance to work on high-impact customer problems in a fast-moving AI market.<\/li>\n<\/ul>\n

        Additional information<\/h3>\n

        Google states that it is an equal opportunity and affirmative action employer and that it is committed to building a workforce that reflects the users it serves. The company also notes that applicants can request accommodations through its applicants\u00e2\u0080\u0099 accommodations form. The posting says Google does not accept agency resumes and will not pay fees for unsolicited resumes. It also explains that equity grants are discretionary, subject to Alphabet\u00e2\u0080\u0099s approval process and stock plan terms, and do not affect statutory payments.<\/p>\n

        The application process includes a note that by applying, candidates may share their preferred working location from the listed options. The posting also references Google\u00e2\u0080\u0099s applicant and candidate privacy policy, its equal opportunity policy, workplace discrimination rights, belonging resources, and hiring information.<\/p>\n\n

        Degree Requirement:<\/strong> Bachelor’s<\/p>\n

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