Senior Solutions Engineer (APAC)
Q
QdrantAI Infrastructure
This role is open to candidates based anywhere aligned with major APAC hubs like India, Singapore, Japan, or Australia., Candidates must be based anywhere aligned with major APAC hubs like India, Singapore, Japan, or Australia.Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- KubernetesDistributed Systems
Requirements
- 5+ years of pre-sales or solutions engineering, ideally with a background in data infrastructure or systems architecture.
- Proven track record running technical qualification and proof-of-concept processes within a live sales cycle.
- Experience designing or operating distributed systems, search infrastructure, or data pipelines at production scale.
- Strong communicator capable of translating technical indexing trade-offs to engineers and infrastructure ROI to executives.
- Hands-on experience with RAG pipelines is a strong plus.
- Working knowledge of the modern AI stack including LLMs, embedding models, and agentic frameworks.
- Working knowledge of a structured sales qualification framework such as MEDDICC/MEDDPICC.
- Familiarity with deployment patterns: Kubernetes, hybrid cloud, on-prem, or air-gapped environments.
- Experience with vector search, approximate nearest neighbor algorithms, or semantic retrieval systems.
- Background with Rust, C++, or other systems languages.
Responsibilities
- Own the technical strategy in enterprise deals from first call to production deployment, partnering with Account Executives to qualify, architect, and close for our entire Asian-Pacific client base.
- Act as a Technical Account Manager for a small portfolio of existing enterprise customers in the region alongside active prospects.
- Design vector search architectures for high-scale workloads, including multi-tenant agentic systems, hybrid search pipelines, and low-latency retrieval at billion-vector scale.
- Build proof-of-concept systems that customers take to production, demonstrating performance advantages over alternative solutions.
- Serve as a trusted advisor on AI infrastructure decisions, helping customers navigate migration from legacy databases and deploy across various environments.
- Contribute to the field engineering knowledge base including reference architectures, technical guides, and reusable POC frameworks.
View Full Description & ApplyYou'll be redirected to the employer's site
