Senior AI Infrastructure Solutions Architect

Qdrant; Canberra; On-site; AUD 120,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Flexible hours

Async-friendly culture

Open-source culture

Choose laptop equipment

Job summary

Qdrant is a remote-first company building a world-class vector search engine for AI applications. We are seeking a Senior Solutions Engineer to own the technical outcome in APAC engagements, partnering with Account Executives to architect deals and close opportunities.

You will design high-scale vector architectures, qualify technical requirements, and guide customers through production deployments across cloud, on-prem, or air-gapped environments.

Qualifications

• 5+ years in pre-sales or solutions engineering within data infrastructure or systems architecture.
• Experience designing or operating distributed systems or data pipelines at production scale.
• Hands-on experience with RAG pipelines and modern AI stack components (LLMs, embeddings, agents).
• Familiar with MEDDICC/MEDDPICC sales qualification frameworks.

Responsibilities

• Own the technical strategy in enterprise deals from first call to production deployment.
• Act as Technical Account Manager for a portfolio of enterprise customers in APAC.
• Design vector search architectures for high-scale workloads and multi-tenant systems.
• Build real POC systems that demonstrate performance advantages over alternatives.
• Advise customers on AI infrastructure migrations and deployment across cloud, on-prem, or air-gapped environments.
• Contribute to reference architectures, guides, and reusable POC frameworks.

Skills

Pre-sales

Solutions Eng

Distributed systems

RAG pipelines

MEDDICC

Communication

Job description

Qdrant is a remote-first company building a world-class vector search engine for AI applications. We are seeking a Senior Solutions Engineer to own the technical outcome in APAC engagements, partnering with Account Executives to architect deals and close opportunities.

You will design high-scale vector architectures, qualify technical requirements, and guide customers through production deployments across cloud, on-prem, or air-gapped environments.