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$128k–$205k/yr
Senior+$1.6B raised
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Full-time
Posted 26d ago
~40 hrs/week
Remote in New York, New York, United States
Responsibilities
The Forward Deployed Engineer drives the on-site deployment and scaling of enterprise Generative AI solutions within customer engineering teams. This includes developing intelligent agents and optimizing streaming data pipelines to operationalize LLMs across multi-cloud environments.
Requirements
Candidates must possess mastery of Vertex AI, advanced proficiency in Python and SQL, and experience with Google Cloud infrastructure. Expertise in agentic architectures and the ability to translate business goals into technical architectures are required.
Full job description
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 collaborative troubleshooting environment. ● Consultative Approach: Navigate corporate environments to translate high-level business goals into robust technical architectures.
Technical Qualifications ● 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.
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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Related keywords
Generative AILLMVertex AI Agent BuilderADKMCP ToolboxBigQuerySpannerDataflowRunInference APIAlloyDBGoogle Cloud PlatformAWSAzureModel GardenVertex AI PipelinesMachine Learning
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Industry
Business Consulting and Services
Company size
5,001-10,000 employees
Founded
2011
Headquarters
Santa Clara, CA
LinkedIn followers
652,068
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Offices: 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US · 111 Town Square Pl, Jersey City, New Jersey 07310, US · 36 Robinson Rd, Singapore, Singapore 068877, SG · 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US · 5151 Headquarters Dr, Plano, Texas 75024, US
Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
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