Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.3 months ago
Remote, United States +4 moreSenior
Responsibilities
- Deploy, integrate, and scale enterprise generative AI solutions within customer engineering teams.
- Develop intelligent agents with Vertex AI Agent Builder and build multi-agent systems using the Agent Developer Kit.
- Connect agents securely to enterprise databases such as BigQuery and Spanner using MCP Toolbox.
- Train, tune, evaluate, and deploy models with Vertex AI and integrate them with BigQuery for feature engineering.
- Build streaming data pipelines for real-time inference using Dataflow, RunInference API, or Vertex AI endpoints.
- Ground AI models in live business context using vector engines in BigQuery or AlloyDB.
- Translate business goals into robust technical architectures and communicate project milestones and technical blockers to stakeholders.
- Participate in internal and client-facing meetings and collaborate on technical troubleshooting.
Requirements
- Proven generative AI experience and experience deploying AI solutions in production environments.
- Experience with Vertex AI Model Garden, Vertex AI Pipelines, model evaluation, and Vertex AI endpoints.
- Advanced SQL knowledge for BigQuery and Python skills for machine learning engineering.
- Experience with Google Cloud Storage, BigQuery, data preprocessing, and streaming or stateful real-time processing.
- Knowledge of scaling, encoding, imputation, retrieval systems, agentic architectures, and multi-cloud environments.
- Ability to build consultative relationships, communicate clearly with stakeholders, and translate business needs into technical solutions.
Benefits
- Remote, full-time position.
- Career development opportunities in a fast-growing and challenging entrepreneurial environment.
- High degree of individual responsibility.
Tech Stack
Categories
Forward Deployed
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.