
Solution Engineer
20 hours ago
Collaborate with core engineering, customers, and solution engineering teams for functional and technical discovery sessions to understand requirements and architect TigerGraph-based solutions.
Prepare and deliver compelling product demonstrations, live software prototypes, and proof-of-concepts showcasing TigerGraph's multi-modal Graph + Vector capabilities, including hybrid search for AI applications.
Participate in an on-call rotation to ensure 24/7 support coverage for enterprise deployments.
Create and maintain public documentation, internal knowledge base articles, FAQs, and best practices for TigerGraph implementations.
Design efficient graph schemas, develop GSQL queries and algorithms, and build prototypes that address customer requirements (e.g., Fraud Detection, Recommendation Engines, Knowledge Graphs, Entity Resolution, Anti-Money Laundering, and Cybersecurity).
Optimize indexing strategies, partitioning, and query performance in TigerGraph's distributed environment, leveraging GSQL for parallel processing and real-time analytics.
Lead large-scale production implementations of TigerGraph solutions for enterprise clients, ensuring seamless integration with existing systems like Kafka for streaming, K8s for orchestration, and cloud platforms.
Provide expert guidance on Graph Neural Networks (GNNs), Retrieval-Augmented Generation (RAG), semantic search, and AI-driven optimizations to enhance customer outcomes.
Troubleshoot complex issues in distributed systems, including networking, load balancing, and performance monitoring.
Foster cross-functional collaboration, including data modeling sessions, whiteboarding architectures, and stakeholder management to validate solutions.
Drive customer success through exceptional service, project management, and communication of TigerGraph's value in AI/enterprise use cases.
Requiremen
ts**Graph and Vector Data Science**: 4+ years applying graph algorithms, vector embeddings, and data science techniques for enterprise analytic
s.- **SQL Expertise**: 4+ years in SQL for querying, performance tuning, and debugging in relational and graph context
s.- **Graph Databases and Platforms**: 4+ years with TigerGraph or similar systems, focusing on multi-modal graph + vector integration
s.- **Programming & Scripting**: 4+ years in Python, C++, and automation tools for task management, issue resolution, and GSQL developmen
t.- **HTTP/REST and APIs**: Expertise in building and integrating RESTful services for database interaction
s.- **Linux and Systems**: Strong background in Linux administration, scripting (bash/Python), and distributed environment
s.- **Kafka and Streaming**: Experience with Kafka for real-time data ingestion and event-driven architecture
s.- **K8s (Kubernetes)**: Proficiency in container orchestration for scalable deployment
s.- **Customer Service and Project Management**: 4+ years delivering exceptional support, managing projects, and ensuring client succes
s.- **Cloud Computing**: 4+ years with AWS, Azure, or GCP for virtualization, deployments, and hybrid setup
s.- **Graph Neural Networks (GNNs) and Graph Machine Learning**: Hands-on with frameworks like PyTorch Geometric for predictive analytics on graph
s.- **Retrieval-Augmented Generation (RAG) and Semantic Search**: Building pipelines with vector embeddings and LLMs for AI application
s.- **Big Data Processing Tools**: Proficiency in Apache Spark, Hadoop, or Flink for distributed workload
s.- **AI-Driven Database Management and Optimization**: Skills in AI-enhanced query optimization and performance tunin
g.- **Data Governance, Security, and Compliance**: Knowledge of encryption, access controls, GDPR/HIPAA, and ethical AI practice
s.- **DevOps and CI/CD Pipelines**: Advanced use of Git, Jenkins, or ArgoCD for automatio
n.- **Real-Time Analytics and Streaming Integration**: Beyond Kafka, experience with Flink or Pulsa
r.- **Multimodal Data Handling**: Managing text, images, video in graph + vector setup
s.- **Monitoring & Observability Tools**: 4+ years with Prometheus, Grafana, Datadog, or ELK Stac
k.- **Networking & Load Balancing**: Proficient in TCP/IP, load balancers (NGINX, HAProxy), and troubleshootin
g.- **Agile Methodologies and Tools**: 3+ years with Scrum/Agile, JIRA, or Confluenc
e.- **Presentation and Technical Communication**: Advanced whiteboarding, architecture reviews, and demo
s.- **Cross-Functional Collaboration**: Leading discovery, data modeling (UML, ER diagrams), and on-call incident managemen
t.
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