{"schemaVersion":"jobsearcher.job.v1","id":"f040a62085314ddc2c37245b","url":"https://jobsearcher.com/jobs/f040a62085314ddc2c37245b","canonicalUrl":"https://jobsearcher.com/jobs/f040a62085314ddc2c37245b","title":"Forward Deployed Engineer (Generative AI)","description":"Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.\nWe are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.\nRole Overview\nThe Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.\nYou will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.\n\nRequirements\n\nAgentic Design & Implementation\n\nDevelop intelligent agents using Vertex AI Agent Builder to automate complex\nbusiness workflows.\n\nLeverage the Agent Developer Kit (ADK) to build and manage multi-agent systems\nthat collaborate to solve end-to-end business challenges.\n\nImplement tools like MCP (Model Context Protocol) Toolbox to securely connect\nagents to enterprise databases like BigQuery and Spanner.\n\nAI on Data Strategy\n\nUtilize Vertex AI for model training, tuning, and deployment, ensuring seamless\nintegration with BigQuery for feature engineering.\n\nBuild and optimize streaming data pipelines (e.g., via Dataflow) to execute\nreal-time inference using RunInference API or Vertex AI endpoints.\n\nGround AI models in live business context using vector engines within BigQuery or\nAlloyDB to eliminate \"AI amnesia\".\n\nOperational Excellence (Soft Skills)\n\nActive Participation: Show up promptly for all internal and client-facing meetings.\nTransparent Communication: Provide regular, structured status updates to team\nmembers and stakeholders regarding project milestones and technical blockers.\n\nProactive Collaboration: Demonstrate the ability to ask for help when facing\ntechnical hurdles and contribute to a collaborative troubleshooting environment.\n\nConsultative Approach: Navigate corporate environments to translate high-level\nbusiness goals into robust technical architectures.\n\nTechnical Qualifications\n\nVertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and\nmodel evaluation.\n\nData Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML\nengineering, and data preprocessing techniques (scaling, encoding, imputation).\n\nCloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex\nAI endpoints.\n\nEmerging Tech: Familiarity with stateful real-time processing and the latest\ninnovations in agentic architectures.\n\nBenefits\n\nThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.\nTiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.","company":"Tiger Analytics","rawCompany":"tiger analytics","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-07-23T11:59:52.113Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer (Generative AI)","description":"Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.\nWe are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.\nRole Overview\nThe Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.\nYou will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.\n\nRequirements\n\nAgentic Design & Implementation\n\nDevelop intelligent agents using Vertex AI Agent Builder to automate complex\nbusiness workflows.\n\nLeverage the Agent Developer Kit (ADK) to build and manage multi-agent systems\nthat collaborate to solve end-to-end business challenges.\n\nImplement tools like MCP (Model Context Protocol) Toolbox to securely connect\nagents to enterprise databases like BigQuery and Spanner.\n\nAI on Data Strategy\n\nUtilize Vertex AI for model training, tuning, and deployment, ensuring seamless\nintegration with BigQuery for feature engineering.\n\nBuild and optimize streaming data pipelines (e.g., via Dataflow) to execute\nreal-time inference using RunInference API or Vertex AI endpoints.\n\nGround AI models in live business context using vector engines within BigQuery or\nAlloyDB to eliminate \"AI amnesia\".\n\nOperational Excellence (Soft Skills)\n\nActive Participation: Show up promptly for all internal and client-facing meetings.\nTransparent Communication: Provide regular, structured status updates to team\nmembers and stakeholders regarding project milestones and technical blockers.\n\nProactive Collaboration: Demonstrate the ability to ask for help when facing\ntechnical hurdles and contribute to a collaborative troubleshooting environment.\n\nConsultative Approach: Navigate corporate environments to translate high-level\nbusiness goals into robust technical architectures.\n\nTechnical Qualifications\n\nVertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and\nmodel evaluation.\n\nData Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML\nengineering, and data preprocessing techniques (scaling, encoding, imputation).\n\nCloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex\nAI endpoints.\n\nEmerging Tech: Familiarity with stateful real-time processing and the latest\ninnovations in agentic architectures.\n\nBenefits\n\nThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.\nTiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.","datePosted":"2026-07-23T11:59:52.113Z","dateModified":"2026-07-23T11:59:52.113Z","hiringOrganization":{"@type":"Organization","name":"Tiger Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f040a62085314ddc2c37245b"},"url":"https://jobsearcher.com/jobs/f040a62085314ddc2c37245b"}}