Forward Deployed Engineer (Generative AI)
- Location Austin, Texas, United States
- Type Full-time
- Team MLE
- Seniority senior
- Posted 2026-07-14
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role details
Deploy and integrate Generative AI solutions with customers' multi-cloud environments.
Summary generated by AI from the original posting.
Hard requirements to check first
- Clearance:not mentioned in the posting
- Work auth:not mentioned in the posting
- Travel:customer-facing; travel not stated
Skills
PythonSQLAWSAzureGCPAgentsMCPVertex AI Agent BuilderAgent Developer Kit (ADK)MCP (Model Context Protocol) ToolboxVertex AIBigQueryDataflowRunInference API
Excerpt from the original posting
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. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Role Overview The 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. You 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. Agentic Design & Implementation ● Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. ● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. ● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner. AI on Data Strategy ● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless integration with BigQuery for feature engineering. ● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute real-time inference using RunInference API or Vertex AI endpoints. ● Ground AI models in live business context using vector engines within BigQuery or AlloyDB to eliminate "AI amnesia". Operational Excellence (Soft Skills) ● Active Participation: Show up promptly for all internal and client-facing meetings. ● Transparent Communication: Provide regular, structured status updates to team members and stakeholders regarding project milestones and technical blockers. ● Proactive Collaboration: Demonstrate the ability to ask for help when facing technical hurdles and contribute to a collaborati…