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Director of AI

Apply Digital· Data
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Hybrid (Canada)Full-Time PermanentPosted 1mo ago

About the role

Senior AI engineering leader responsible for designing and delivering AI-enabled products and platforms across client engagements, combining AI/ML expertise with consulting, product thinking, and technical leadership.

Responsibilities

  • Lead the technical strategy, architecture, and delivery of AI applications from discovery and experimentation through production and scale.
  • Work with client executives, product leaders, architects, and engineering teams to identify valuable AI opportunities and translate them into achievable technical roadmaps.
  • Design AI applications that combine models, enterprise data, APIs, software components, user experiences, and human workflows.
  • Guide the implementation of agentic workflows, retrieval-augmented generation, enterprise search, predictive models, and AI capabilities embedded in digital products.
  • Determine when to use deterministic software, machine learning, large language models, human review, or a combination of approaches.
  • Establish evaluation-driven development practices, including test datasets, error analysis, deterministic checks, model-based evaluation, and business outcome measurement.
  • Ensure solutions meet production requirements for reliability, observability, scalability, latency, maintainability, security, and cost.
  • Guide practices for CI/CD, model and prompt versioning, monitoring, tracing, regression testing, and ongoing optimization.
  • Provide hands-on technical leadership through prototyping, architecture reviews, code reviews, troubleshooting, and delivery oversight.
  • Use AI-assisted development and coding agents effectively while maintaining appropriate verification, security, and human oversight.
  • Support proposals, discovery workshops, solution design, estimates, and executive presentations.
  • Develop reusable AI engineering patterns, reference architectures, accelerators, and delivery standards.
  • Contribute to hiring, technical mentorship, and the continued growth of APPLY’s AI capability.

Qualifications

  • 10+ years of experience across software engineering, data engineering, machine learning, or related technology disciplines, including significant experience leading AI or ML solutions.
  • Demonstrated experience designing, building, and operating AI or machine learning applications in production—not only proofs of concept.
  • Strong software engineering foundation, including system design, APIs, data architecture, testing, security, cloud infrastructure, and production operations.
  • Hands-on proficiency in Python and experience with modern application, data, and AI engineering frameworks.
  • Strong understanding of LLMs, RAG, context engineering, agentic workflows, tool use, structured outputs, and model evaluation.
  • Experience grounding AI systems in enterprise data, including structured data, documents, semantic models, vector stores, or knowledge graphs.
  • Experience establishing evaluation and error-analysis practices for systems with probabilistic outputs.
  • Ability to balance model quality, reliability, latency, cost, security, and user experience.
  • Experience with cloud-native architecture and production deployment on GCP, AWS, or Azure.
  • Familiarity with containers, CI/CD, observability, and MLOps or LLMOps practices.
  • Demonstrated success in a consulting, professional-services, or complex client-facing environment.
  • Ability to move comfortably between executive conversations, product decisions, architecture discussions, and detailed technical problem-solving.
  • Excellent communication skills with both technical and non-technical audiences.
  • A degree in computer science, software engineering, artificial intelligence, data science, or a related field—or equivalent professional experience.

Skills

Required:Experience leading AI/ML solutions in productionPythonCloud-native architectureLLMs, RAG, context engineering
Nice to have:CI/CD, MLOps/LLMOps

Benefits

  • Agentic Delivery: Work on engagements with international brands and measurable client outcomes.
  • An inclusive and safe environment.
  • AI & Strategic Upskilling with training budgets and mentorship.
  • Generous vacation policy with flexible personal time off (PTO).
  • Customizable benefits for extended health and dental plans.
  • Flexible work arrangements (remote, in-office, or hybrid).
  • Commitment to equal opportunity and DEI initiatives.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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