Search Jobs

Search by job, company or skills

Staff Partner Forward Deployed Engineer, GenAI, Google Cloud

Staff Partner Forward Deployed Engineer, GenAI, Google Cloud

Google India
8-10 Years
Early Applicant
  • Posted a month ago
  • Be among the first 10 applicants

Job Description

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications:

  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
  • 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 for customers.
  • 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 Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the jobAs a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer's environment. 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 strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud's future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.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.

Responsibilities

  • Serve as a team lead and developer within the strategic AI partner for complex AI applications, working with the partner's own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment (ROI).
  • Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet rigorous requirements for accuracy, safety, and latency.
  • Identify repeatable partner and 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 a strategic AI partner's forward deployed engineering teams to instill Google-grade development best practices.
  • Help partners to build their own agentic delivery capabilities to set them up for long term success, focusing on the ROI at customer engagements ensuring customer activation.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

More Info

Job Type:
Industry:
Function:
Employment Type:

Key Skills

CrewAI

multi-agent systems

production-grade AI-driven solutions

ADK

building pipelines for structured and unstructured data

vector databases

LangGraph

RAG-like architectures

granular tracing

About Company

Similar Jobs

10-13 yrs
SGD 1.62 - 3.24 LPA
Pasir Panjang, Singapore
Skills:
Artificial Intelligence (AI)-native growth areasSoftware as a Service (SaaS)Platform as a Service (PaaS)Large Language Models (LLMs)Google Cloud PlatformGenerative AICustomized consumption constructsProvisioned bundlingAiCloud AITPU infrastructureGemini modelsVertex AICapacity modelsTokenomics
8-10 yrs
Singapore
Skills:
Cloud Computingend-to-end secure observable multi-agent systemsdata sovereigntymulti-agent workflowsarchitecting AI solutionssecure governance
5-8 yrs
SGD 0.96 - 1.2 LPA
Singapore
Skills:
technological proficiency scalable web applications react.js training needs analysis Api DevelopmentBackend DevelopmentTypescriptJavascriptScalabilityInformation TechnologyPythonDeveloping InterfacesComputer ScienceDesignNext.jsImplementation of Best Practices
5-8 yrs
Singapore
Skills:
PythonMachine LearningQuality AssuranceAutomated TestingCloud ServicesApi TestingAgile MethodologiesSoftware TestingTest AutomationRest Api TestingUi TestingFunctional TestingIntegration TestingRegression TestingExploratory TestingNegative TestingPerformance TestingPostmanRest AssuredPytestSeleniumJavaJavascriptTypescriptGitJenkinsAzure DevOpsRequirements AnalysisFunctional RequirementsUser StoriesSolution DesignSystem IntegrationEnterprise IntegrationDistributed SystemsMicroservicesAuthenticationSecurity TestingSplunkAWSKubernetesOpenshiftDockerAccessibility TestingWcagData AnalysisCI/CD PipelinesDevOps PracticesGenAI TestingLLM TestingAgentic AIAI Quality Engineeringend-to-end testingResilience TestingRisk-Based TestingPlaywrightCypressCI/CDSolution AnalysisBusiness AnalysisAcceptance CriteriaProcess MappingStakeholder ManagementEvent-Driven ArchitectureAuthorizationRAGRetrieval Augmented GenerationPrompt EngineeringPrompt TestingHallucination DetectionPrompt Injection TestingAI Safety TestingLangSmithLangfuseOpenTelemetryElasticObservabilityRoot Cause AnalysisRelease Governance