Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.3 months ago
Remote, CanadaSenior
Responsibilities
- Deploy, integrate, and scale enterprise generative AI solutions within customer engineering teams.
- Develop intelligent agents using Vertex AI Agent Builder and build multi-agent systems with 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 and optimize streaming data pipelines for real-time inference using Dataflow, RunInference API, and Vertex AI endpoints.
- Ground AI models in business context using vector engines in BigQuery or AlloyDB.
- Translate business goals into robust technical architectures and provide structured communication on milestones and technical blockers.
Requirements
- Experienced in forward deployment or customer-embedded engineering for generative AI solutions.
- Proven experience with Vertex AI Model Garden, Vertex AI Pipelines, and model evaluation.
- Advanced SQL knowledge for BigQuery and Python experience for machine learning engineering.
- Experience with data preprocessing techniques including scaling, encoding, and imputation.
- Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
- Familiarity with stateful real-time processing and agentic architectures.
- Strong consultative communication, collaboration, and technical troubleshooting skills.
Benefits
- Remote work arrangement in Canada.
- Full-time position with significant career development opportunities.
- Fast-growing, challenging entrepreneurial environment with a high degree of individual responsibility.
- Equal employment opportunity protections are provided under applicable law.
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.