Forward Deployed Engineer, Generative AI

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Drive the on-site deployment, integration, and scaling of enterprise Generative AI solutions. • Embed directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). • Bridge the gap between AI research and production-grade cloud infrastructure. • Collaborate with cross-functional teams and business partners to leverage analytical skills and ensure business value.

🎯 Requirements

• 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. • 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". • 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 collaborative troubleshooting environment. • Consultative Approach: Navigate corporate environments to translate high-level business goals into robust technical architectures. • Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation. • Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques (scaling, encoding, imputation). • Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex AI endpoints. • Emerging Tech: Familiarity with stateful real-time processing and the latest innovations in agentic architectures.

🏖️ Benefits

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.