Technical Director, Data Engineering (AI)

Location: Vancouver, British Columbia, Canada. Hybrid work model with onsite work at least 50% of the time for employees within commuting distance of a hirify.global office.

Salary: CAD 210,000–250,000 per year.

Company

hirify.global is a governance, risk, and compliance SaaS company building AI-enabled products and platforms for organizations, practitioners, executives, and boards.

What you will do

• Design and build scalable data platforms and distributed processing systems.
• Develop ingestion, transformation, retrieval, semantic search, and vector search pipelines for structured and unstructured data.
• Build production systems for AI/LLM applications, RAG pipelines, and agentic workflows.
• Evaluate and standardize frameworks, tooling, infrastructure patterns, monitoring, and observability practices.
• Improve the performance, reliability, scalability, and cost efficiency of data systems.
• Mentor engineers through design reviews, architecture guidance, pair debugging, and technical standards.

Requirements

• Significant hands-on experience building and operating production data and distributed systems.
• Experience with Airflow, Elasticsearch or OpenSearch, vector databases, semantic retrieval, and databases such as MongoDB, PostgreSQL, or DynamoDB.
• Experience with AWS, AWS CDK, serverless architectures, and distributed observability or monitoring stacks.
• Knowledge of LLM integration, RAG architectures, embeddings, AI evaluation, tracing, search relevance, and ranking systems.
• Strong backend engineering experience, with Python strongly preferred; experience with API design, distributed services, and event-driven or asynchronous systems.
• Ability to modernize legacy platforms, simplify architectures, and balance delivery speed with maintainability and operational reliability.

Nice to have

• Experience with large-scale news, document, or regulatory data pipelines.
• Experience tuning search relevance and semantic retrieval systems.
• Exposure to governance, compliance, risk, or enterprise SaaS platforms.
• Familiarity with modern AI engineering workflows and agentic systems.
• Experience supporting both startup-speed execution and enterprise-scale operations.

Culture & Benefits

• Flexible work environment with hybrid collaboration.
• Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
• Global days of service and employee resource groups supporting diversity and inclusion.
• Opportunities to work with teams across multiple international office hubs.