AI Solutions Architect
Remote
RemoteFull TimeMid LevelNot SpecifiedDatabase SoftwareUnknown
Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Unknown
Industry
Database Software
Job Summary
Architect and deliver Graph+GenAI solutions for customers, translating business objectives into AI-powered architectures leveraging graph databases and LLMs; develop production-ready AI applications integrating graph databases with LLMs; collaborate with Product and Marketing to influence roadmaps and share best practices; maintain up-to-date knowledge of GenAI landscape; travel for customer engagements.
Required Qualifications
- Enterprise Application Development: 5+ years of experience in designing and developing enterprise-class applications
- LLM Proficiency: 2+ years of Experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and integrating LLMs into applications
- Programming Proficiency: Java, JavaScript, Python, or C#
- Deployment and Version Control: Experience with Docker, Kubernetes, Git, SVN
- Cloud Computing Expertise: Experience with AWS, Azure, GCP
- Generative AI Ecosystem Knowledge: Experience with AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings
- Data Expertise: Experience with data engineering/analytics/science, big data tech (Hadoop, Spark, Hive), SQL/NoSQL
- Graph Database Expertise: Experience with graph databases (Neo4j, Neptune, TigerGraph) or triple stores
- Communication and Collaboration Skills
- Problem-Solving and Analytical Abilities
- Willingness to travel for customer engagements
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