Senior Solution Architect
Senior Solution Architect
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Job Description
Qdrant is a cuttingedge technology company specializing in opensource vector databases designed for nextgeneration AI applications. Our platform enables highperformance vector similarity search allowing businesses to unlock deep insights from unstructured data. By offering both opensource software and managed cloud solutions we empower developers and enterprises to build scalable AIdriven search and recommendation systems with ease.
Tasks
We are seeking an experienced Senior Solution Architect with a strong background in databases search engines and machine learning. In this pivotal role you will collaborate closely with our clients to design and implement innovative solutions leveraging Qdrants vector database technologies. You will serve as a technical expert and trusted advisor guiding clients through the adoption and integration of our products to ensure their success.
Requirements
Key Responsibilities
- Client Collaboration: Engage with clients to understand their technical requirements and business objectives.
- Solution Design: Architect scalable and efficient solutions utilizing Qdrants vector database and cloud offerings.
- Technical Expertise: Provide indepth guidance on best practices for integrating Qdrants products into existing systems.
- PreSales Support: Assist the sales team with technical presentations demonstrations and proofofconcept projects.
- Workshops & Training: Lead technical workshops and training sessions for clients and partners.
- CrossFunctional Liaison: Act as a bridge between clients and internal teams including engineering and product development.
- Feedback Contribution: Relay client feedback to influence product enhancements and roadmap.
- Industry Insight: Stay updated on the latest trends in vector search machine learning and database technologies.
Qualifications
Experience: Minimum of 5 years in solution architecture technical consulting or a similar role.
Technical Skills:
Extensive knowledge of database systems.
Experience with search engines like Elasticsearch or Solr.
Proficiency in vector databases and understanding of vector search concepts.
Strong programming skills in languages such as Python Go Rust or Java.
Familiarity with machine learning frameworks (e.g. TensorFlow PyTorch).
Experience with cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).
Preferred Qualifications
- OpenSource Contribution: Experience contributing to opensource projects.
- Industry Experience: Background in AIpowered applications like recommendation systems NLP or computer vision.
- Certifications: Relevant certifications in cloud platforms databases or machine learning.
- Distributed Systems Knowledge: Understanding of distributed computing and microservices architecture.
Employment Type
Full Time
