Tiger Analytics

Delivers Data and AI transformation

Forward Deployed AI Engineer - Neo4j / Knowledge Graph

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

Must have experience developing Neo4j Knowledge Graph or GraphRAG solutions.
Must be able to build data and AI pipelines using Databricks and PySpark.
Must be able to develop scalable APIs, microservices, and backend applications using Python or Go.
Must be able to deploy AI solutions across AWS, Azure, or GCP.
Must be able to work with large language model frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
Must be able to troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
Must have strong problem-solving and debugging skills.
Must be self-driven, customer-focused, and comfortable working in ambiguous environments.

Responsibilities

Lead the end-to-end AI Engineering workstream for the Luma platform.
Drive the architecture, design, and delivery of enterprise-scale agentic AI solutions.
Serve as the primary technical interface for the client.
Build generative AI, retrieval-augmented generation, agentic AI, and knowledge graph solutions.
Work directly with customers, rapidly develop proofs of concept and minimum viable products, and take solutions into production.
Act as a technical consultant and work closely with enterprise customers.

Desired Qualifications

Experience with LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, vector databases, AWS Bedrock, Azure OpenAI, Kubernetes, Docker, Terraform, vLLM/Triton, PyTorch, or Hugging Face.

Forward Deployed AI Engineer -Neo4j / Knowledge Graph

Tiger Analytics Inc. · United States (Remote) · Full-time · Posted 2026-09-01

Workplace: remote

Department: MLE

Description

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.

We are looking for a Forward Deployed AI Engineer to build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions. The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.

Requirements

Build GenAI, RAG, Agentic AI, and AI-powered applications.
Develop Neo4j Knowledge Graph / GraphRAG solutions – must have.
Build data and AI pipelines using Databricks and PySpark.
Develop scalable APIs, microservices, and backend applications using Python or Go.
Rapidly prototype and deliver POCs/MVPs for customer requirements.
Deploy AI solutions across AWS, Azure, or GCP.
Work with LLM frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
Troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
Act as a technical consultant and work closely with enterprise customers.

Must-Have Skills

Neo4j / Knowledge Graph – Mandatory
Generative AI / LLM / RAG / Agentic AI
Databricks / Spark / PySpark
Application Engineering – Python or Go
Rapid Prototyping / POC Development
Cloud: AWS / Azure / GCP
Strong problem-solving and debugging skills
Self-driven, customer-focused, and comfortable working in ambiguous environments

Good to Have

LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, Vector DBs, AWS Bedrock, Azure OpenAI, Kubernetes, Docker, Terraform, vLLM/Triton, PyTorch/Hugging Face.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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.

Apply

Apply at Tiger Analytics Inc.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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