Director of AI

Location: Remote or hybrid; preferred candidate based in Canada and working hours aligned to ET or PT

Company

hirify.global delivers digital products and AI-enabled solutions for client engagements and international brands.

What you will do

• Lead the technical strategy, architecture, and delivery of AI applications from discovery and experimentation through production and scale.
• Identify AI opportunities with client executives, product leaders, architects, and engineering teams, and translate them into technical roadmaps.
• Design AI applications combining models, enterprise data, APIs, software components, user experiences, and human workflows.
• Guide agentic workflows, retrieval-augmented generation, enterprise search, predictive models, and AI capabilities embedded in digital products.
• Ensure production requirements for reliability, observability, scalability, latency, maintainability, security, and cost.
• Develop reusable AI engineering patterns, reference architectures, accelerators, standards, and delivery practices.

Requirements

• 10+ years of experience across software engineering, data engineering, machine learning, or related disciplines, including significant AI or ML leadership experience.
• Experience designing, building, and operating AI or machine learning applications in production.
• Strong foundation in system design, APIs, data architecture, testing, security, cloud infrastructure, and production operations.
• Hands-on proficiency in Python and modern application, data, and AI engineering frameworks.
• Strong knowledge of LLMs, RAG, context engineering, agentic workflows, tool use, structured outputs, and model evaluation.
• Experience with cloud-native production deployment on GCP, AWS, or Azure, plus containers, CI/CD, observability, and MLOps or LLMOps.

Nice to have

• Experience with regulated, privacy-sensitive, or large-scale enterprise AI environments.
• Experience with model fine-tuning, open-source models, multimodal AI, voice agents, or computer-use agents.
• Experience implementing AI security controls such as prompt-injection defenses, tool permissions, and human approval gates.
• Experience building internal AI platforms, reusable agent frameworks, or developer enablement capabilities.
• Certifications or delivery experience with GCP, Snowflake, Databricks, or comparable platforms.

Culture & Benefits

• Remote, in-office, and blended work arrangements.
• Training budgets and mentorship focused on Agentic AI and human skills.
• Flexible personal time off and a generous vacation policy.
• Customizable extended health and dental benefits.
• Inclusive and safe working environment.