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Forward Deployed Engineer (Generative AI)

3 weeks, 5 days ago
United States
Full-time
Senior
AI Engineer
Software Development
AWS Azure Feature Engineering GCP Generative AI LLM Machine Learning Python SQL Vertex AI
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Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 87

Description

  • Deploy, integrate, and scale enterprise generative AI solutions on-site with customer engineering teams.
  • Operationalize large language models and retrieval systems across AWS, Azure, and GCP environments.
  • Develop intelligent agents to automate complex business workflows using Vertex AI Agent Builder.
  • Build and manage multi-agent systems with the Agent Developer Kit to solve end-to-end business challenges.
  • Connect agents securely to enterprise data sources using MCP Toolbox and similar tooling.
  • Train, tune, deploy, and evaluate models in Vertex AI and integrate them with BigQuery for feature engineering.
  • Build and optimize 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.
  • Collaborate with cross-functional teams, business partners, and stakeholders to translate business goals into technical architectures.
  • Provide clear status updates, surface technical blockers, and participate actively in troubleshooting and delivery.

Requirements

  • Experience with generative AI, machine learning, data science, or AI engineering in a production or consulting environment.
  • Proven experience with Vertex AI Model Garden, Vertex AI Pipelines, and model evaluation.
  • Advanced SQL skills for BigQuery and strong Python skills for machine learning engineering.
  • Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
  • Experience with data preprocessing techniques such as scaling, encoding, and imputation.
  • Familiarity with stateful real-time processing and agentic architectures.
  • Experience working across multi-cloud environments, including AWS, Azure, and GCP.
  • Ability to work in customer-facing environments and translate business goals into technical solutions.
  • Strong communication, collaboration, and troubleshooting skills.
  • Experience with BigQuery, Spanner, Dataflow, AlloyDB, MCP Toolbox, or ADK is preferred.

Benefits

  • Opportunity for significant career development in a fast-growing entrepreneurial environment.
  • High degree of individual responsibility and ownership.
  • Equal employment opportunity regardless of protected characteristics.
  • Work with a trusted analytics partner recognized by firms such as Forrester and Gartner.

Interested in this position?

Apply directly on the company website

Apply Now

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