Tiger Analytics Inc.
Advanced Analytics
ForwardDeploymentEngineer-GenAI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Forward Deployment Engineer - Gen AI at Tiger Analytics Inc.. Skills: Generative AI, LLM orchestration, Cloud infrastructure, IaC. Deploy Gen AI models. Fine-tune Gen AI models”
What You'll Achieve.
Generate business value from data; Ensure business value; Communicate results
Industry & Context.
Analytical skills
Willingness to travel to client sites
What They're Looking For.
Must Have
Hands-on experience with LLM orchestration tools, Deep learning frameworks, Production experience setting up and querying vector stores, Proficiency in model serving frameworks, Proficiency in evaluation tools, Advanced knowledge of cloud AI primitives, Kubernetes for GPU workloads, Mastery of Terraform or OpenTofu, Coding skills in Python or Go, Ability to manage customer expectations, Rapid Adaptability, Exceptional skill in isolating errors, Willingness to travel to client sites
Nice to Have
Python (preferred), Go (preferred)
What You'll Do.
Fine-tune Gen AI models
Optimize Gen AI models
Orchestrate LLM frameworks
Architect scalable infrastructure
Design data ingestion pipelines
Implement Vector Database architectures
Build agnostic cloud deployments
Build resilient cloud deployments
Act as technical consultant
Guide clients on AI safety
Guide clients on prompt engineering
Guide clients on inference cost optimization
Feed deployment insights
Improve product robustness
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with business partners; Embed within customer engineering teams; Feed insights back to core AI research teams; Feed insights back to platform engineering teams
Process & Methodology
Lead high-stakes, on-site deployment sprints
Full Job Description
### Description Tiger Analytics is looking for experienced _**Forward Deployment 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 Deployment 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. **Requirements** * **Key Responsibilities-** * **AI Solution Deployment** : Deploy, fine-tune, and optimize large-scale Gen AI models and LLM orchestration frameworks within customer cloud environments. * **Infrastructure Engineering** : Architect scalable infrastructure for AI workloads utilizing GPU/TPU orchestration, high-performance storage, and low-latency networking. * **Data & Retrieval Pipelines**: Design and implement high-throughput data ingestion pipelines and Vector Database architectures for Retrieval-Augmented Generation (RAG). * **Multi-Cloud Management** : Build agnostic, resilient cloud deployments across AWS, Azure, and GCP using Infrastructure as Code (IaC). * **Technical Advocacy** :
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