Senior Solutions Engineer (APAC)

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QdrantAI Infrastructure
Remote - Australia, India, Singapore, Japan; candidates based anywhere aligned with major APAC hubs, Must have time-zone overlap with regional accounts.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
KubernetesDistributed Systems

Requirements

  • 5+ years of pre-sales or solutions engineering experience.
  • Proven track record running technical qualification and proof-of-concept processes in a sales cycle.
  • Experience designing or operating distributed systems, search infrastructure, or data pipelines at production scale.
  • Hands-on experience with RAG pipelines, LLMs, embedding models, and agentic frameworks.
  • Ability to communicate technical indexing trade-offs to engineers and infrastructure ROI to CIOs.
  • Working knowledge of a structured sales qualification framework like MEDDICC/MEDDPICC.
  • Experience with vector search, approximate nearest neighbor algorithms, or semantic retrieval systems is a plus.
  • Background with systems languages such as Rust or C++ is a plus.
  • Familiarity with deployment patterns including Kubernetes, hybrid cloud, on-prem, and air-gapped environments.

Responsibilities

  • Own the technical strategy in enterprise deals from first call to production deployment.
  • Partner with Account Executives to qualify, architect, and close deals for the APAC client base.
  • Act as a Technical Account Manager for a portfolio of enterprise customers, identifying expansion opportunities.
  • Design vector search architectures for high-scale, multi-tenant, and low-latency workloads.
  • Build production-ready proof-of-concept systems.
  • Serve as a trusted advisor on AI infrastructure decisions, including cloud, on-prem, and air-gapped deployments.
  • Contribute to the field engineering knowledge base through reference architectures and technical guides.
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