Principal AI Engineer

About Qorsa

Qorsa builds AI platforms that turn scattered, unstructured information into trustworthy, explainable insight. Our flagship platform, AtlasAI, maps an organization's documents, spreadsheets, images, and geographic data into a living knowledge graph and uses a multi-agent system to generate comprehensive, source-cited reports on demand. No black-box answers: every finding traces back to its source.

That same architecture, paired with our post-quantum security layer, also powers federated intelligence-sharing deployments for allied government and defence partners, where each nation's data stays on its own sovereign infrastructure while still contributing to a shared, alliance-wide picture. We're growing the engineering team behind this technology and looking for a Principal Engineer to lead it.

The Role

As Principal Engineer, you'll set technical direction for the team building and scaling our knowledge graph, multi-agent, and NLP systems. This is a hands-on technical leadership role: architecting systems, reviewing code, mentoring engineers, and working directly with enterprise and government stakeholders to turn hard requirements (data sovereignty, explainability, security) into shipped systems.

What You'll Do

• Own the technical architecture and roadmap for our AI platform, spanning knowledge graph construction, multi-agent orchestration, NLP/entity resolution, and retrieval-augmented generation
• Lead, mentor, and grow a team of AI/ML and platform engineers
• Make engineering tradeoffs that balance capability with the security, auditability, and explainability requirements of regulated and defence-sector customers
• Partner with product, security, and government/enterprise stakeholders to translate operational requirements into system design
• Set and uphold engineering standards: code quality, testing, review process, and documentation
• Stay hands-on: this is a technical leadership role, not a purely managerial one

What We're Looking For

• 5+ years of software engineering experience, including significant work with LLMs, NLP, or knowledge graph/RAG systems in production
• 3+ years leading or mentoring engineering teams in a senior, staff, or principal capacity
• Deep understanding of multi-agent system design, information retrieval, or distributed/federated architectures
• A track record of shipping reliable, secure systems in a regulated or high-stakes environment
• Strong communication skills, able to work directly with both technical and non-technical stakeholders, including government partners
• Canadian citizenship required, and must be eligible to obtain a Government of Canada security clearance (Secret or higher) for work on allied defence programs

Nice to Have

• Experience with cross-lingual NLP or semantic search
• Familiarity with post-quantum cryptography or crypto-agile security architectures
• Prior experience in defence, intelligence, or other classified/regulated environments
• Experience with graph databases (e.g., Dgraph, Neo4j) or vector databases