[Remote] Forward Deployment Engineer (Architect Level) — Google Cloud Platform

Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Forward Deployment Engineer for Google Cloud Platform, who will work closely with enterprise customers to design and deliver AI solutions. The role requires expertise in AI engineering and Python programming to create production-grade systems that address customer needs swiftly and effectively.ResponsibilitiesEmbed with enterprise customers to scope, architect, and deliver end-to-end AI solutions on Google Cloud — from data layer through front-end interfaceDesign and build agentic AI systems using Gemini, the Google Agent Development Kit (ADK), and LangChain — including multi-agent orchestration, tool use, memory, and groundingWrite expert-level Python to develop, train, evaluate, and deploy ML models and AI pipelines on Vertex AIPrototype rapidly — solve customer-blocking technical scenarios (e.g., building a custom audio connector or data integration) within hours when requiredBuild full-stack solutions spanning BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and Vertex AI to deliver integrated, production-ready systemsLead technical discovery sessions to identify high-value AI use cases, assess data readiness, and define measurable success criteria with customersImplement MLOps best practices on Vertex AI: automated pipelines, model monitoring, feature stores, and CI/CD for ML workflowsLeverage Google AI services — Document AI, Speech-to-Text, Vision AI, Translation AI — for rapid capability delivery where custom models are not requiredAdvise customers on responsible AI, model explainability, and AI governance using Google Cloud's built-in toolingFeed customer insights back to Fusion's engineering and product teams to shape our Google Cloud Platform AI practiceProduce clear architecture diagrams, technical runbooks, and handoff documentation for every engagementTravel to customer sites as needed (typically up to 30%)SkillsExpert-level Python coding ability, including software design patterns, performance optimization, testing, and production-grade code qualityHands-on experience building agents using Gemini, Google ADK, and/or LangChain — including tool use, agent memory, multi-agent workflows, and RAG pipelinesDemonstrated ability to solve ambiguous, blocking customer scenarios quickly — building working prototypes (e.g., audio connectors, API integrations, data pipelines) in hoursExperience delivering end-to-end solutions across the stack, from data ingestion and model inference through APIs and user-facing interfaces5+ years of professional software engineering experience, with at least 1 year deploying AI/ML solutions on Google Cloud Platform or equivalent cloud platformHands-on experience with Vertex AI: training jobs, model endpoints, Pipelines, Feature Store, and/or Model MonitoringStrong understanding of Google Cloud Platform data services: BigQuery, Dataflow, Pub/Sub, and Cloud StorageFamiliarity with Google Cloud Platform infrastructure fundamentals: IAM, VPC, Cloud Run, Cloud Functions, and Cloud LoggingExcellent communication skills — able to present complex AI system behavior and trade-offs to both technical teams and executive stakeholdersGoogle Cloud Professional Machine Learning Engineer or Professional Cloud Architect certificationExperience with Gemini multimodal capabilities — vision, audio, and document understandingBackground in NLP, computer vision, conversational AI, or time-series forecasting in a production settingFamiliarity with additional agentic frameworks: CrewAI, AutoGen, or Google's Vertex AI Agent BuilderExperience with Looker, Looker Studio, or data visualization for AI-driven analytics productsPrior customer-facing experience in an applied AI or ML engineering role (e.g., Google PSO, ML consulting, or AI professional services)Knowledge of responsible AI practices: fairness metrics, model explainability (SHAP, LIME), and AI governance frameworksCompany OverviewDice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. It was founded in 1990, and is headquartered in Santa Clara, California, USA, with a workforce of 201-500 employees. Its website is http://www.dice.com.Company H1B SponsorshipDice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.