Consulting Engineer (Graph Data and AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Consulting Engineer (Graph Data and AI): Designing and delivering graph-powered solutions for enterprise customers from initial data modeling through production deployment with an accent on graph databases, data engineering, and AI-ready architectures. Focus on building scalable solution architectures, integrating with modern AI frameworks, and solving complex data and analytics challenges in customer environments.
Location: Remote within the San Mateo area, United States; travel to client sites may be required.
Company
develops a graph intelligence platform and enterprise knowledge graph technology for data-driven and AI-powered applications.
What you will do
- Lead and contribute to implementations across the full project lifecycle, from initial design to production rollout.
- Design graph data models and scalable architectures for complex relationships, analytics, search, and AI applications.
- Integrate with modern orchestration frameworks such as LangChain and LlamaIndex to support RAG and related AI patterns.
- Optimize data ingestion and provide guidance on data engineering and graph development best practices.
- Advise customer engineering, data, and AI teams and translate complex technical concepts into practical recommendations.
- Contribute to proposals, estimates, statements of work, technical recommendations, and customer enablement.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience designing and developing enterprise-class, data-driven, or analytics-focused applications.
- Strong experience with data modeling, complex data structures, scalable software architectures, and modern data engineering.
- Hands-on experience with at least one of Java, JavaScript, Python, Go, or C#.
- Experience deploying applications with Linux, Docker, or Kubernetes and using Git-based development workflows.
- Strong communication, problem-solving, customer-facing presentation, and independent working skills in a remote organization.
Nice to have
- Consulting experience in a Professional Services organization.
- Experience with or other graph databases, including TigerGraph or JanusGraph.
- Experience with Snowflake, Databricks, MongoDB, Couchbase, Teradata, data science projects, or cloud platforms.
- Industry experience in financial services, life sciences, manufacturing, or technology.
Culture & Benefits
- Remote work in a cross-functional, globally distributed organization.
- Opportunities to work with enterprise customers and shape data and analytics solutions.
- Collaborative, inclusive, innovative culture focused on relationships and customer success.
- Travel to customer sites may be required depending on engagement needs.
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