Solution Engineer

• 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.
  

Requirements

• Graph and Vector Data Science**: 4+ years applying graph algorithms, vector embeddings, and data science techniques for enterprise analytics.
• **SQL Expertise**: 4+ years in SQL for querying, performance tuning, and debugging in relational and graph contexts.
• **Graph Databases and Platforms**: 4+ years with TigerGraph or similar systems, focusing on multi-modal graph + vector integrations.
• **Programming & Scripting**: 4+ years in Python, C++, and automation tools for task management, issue resolution, and GSQL development.
• **HTTP/REST and APIs**: Expertise in building and integrating RESTful services for database interactions.
• **Linux and Systems**: Strong background in Linux administration, scripting (bash/Python), and distributed environments.
• **Kafka and Streaming**: Experience with Kafka for real-time data ingestion and event-driven architectures.
• **K8s (Kubernetes)**: Proficiency in container orchestration for scalable deployments.
• **Customer Service and Project Management**: 4+ years delivering exceptional support, managing projects, and ensuring client success.
• **Cloud Computing**: 4+ years with AWS, Azure, or GCP for virtualization, deployments, and hybrid setups.
• **Graph Neural Networks (GNNs) and Graph Machine Learning**: Hands-on with frameworks like PyTorch Geometric for predictive analytics on graphs.
• **Retrieval-Augmented Generation (RAG) and Semantic Search**: Building pipelines with vector embeddings and LLMs for AI applications.
• **Big Data Processing Tools**: Proficiency in Apache Spark, Hadoop, or Flink for distributed workloads.
• **AI-Driven Database Management and Optimization**: Skills in AI-enhanced query optimization and performance tuning.
• **Data Governance, Security, and Compliance**: Knowledge of encryption, access controls, GDPR/HIPAA, and ethical AI practices.
• **DevOps and CI/CD Pipelines**: Advanced use of Git, Jenkins, or ArgoCD for automation.
• **Real-Time Analytics and Streaming Integration**: Beyond Kafka, experience with Flink or Pulsar.
• **Multimodal Data Handling**: Managing text, images, video in graph + vector setups.
• **Monitoring & Observability Tools**: 4+ years with Prometheus, Grafana, Datadog, or ELK Stack.
• **Networking & Load Balancing**: Proficient in TCP/IP, load balancers (NGINX, HAProxy), and troubleshooting.
• **Agile Methodologies and Tools**: 3+ years with Scrum/Agile, JIRA, or Confluence.
• **Presentation and Technical Communication**: Advanced whiteboarding, architecture reviews, and demos.
• **Cross-Functional Collaboration**: Leading discovery, data modeling (UML, ER diagrams), and on-call incident management.