Director, AI Engineering

Socket.dev; Toronto; On-site; CAD 180,000 - 260,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock options

Job summary

Royal Bank of Canada (RBC) is seeking a Director of AI Engineering to lead the development and deployment of scalable AI and data-driven solutions across the enterprise. You will define the AI engineering strategy, build a high-performing team, and establish modern platforms and practices that accelerate innovation and measurable business value.

You will collaborate with business leaders, product, data, and technology partners to operationalize AI capabilities that are secure, reliable, and

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 10+ years of experience in software engineering, data engineering, machine learning, or AI solution delivery, including leadership experience managing technical teams.
• Proven experience designing and deploying enterprise-scale AI/ML platforms and production AI applications in cloud environments.
• Strong understanding of AI engineering practices including MLOps, LLMOps, model deployment, observability, governance, and automation.
• Experience leading cross-functional initiatives that integrate AI capabilities into business processes, products, or customer experiences.
• Deep technical knowledge of modern AI ecosystems, including machine learning frameworks, generative AI technologies, APIs, vector databases, and cloud-native architectures.
• Exceptional communication and stakeholder management skills with the ability to influence executive leaders and translate complex technical concepts into business value.
• A passion for innovation, continuous learning, and building inclusive, collaborative, and high-performing engineering cultures.

Responsibilities

• Define and lead the enterprise AI engineering strategy, roadmap, architecture standards, and delivery model aligned to business priorities.
• Build, mentor, and scale high-performing AI engineering and MLOps teams focused on delivering production-grade AI solutions.
• Establish scalable AI platforms, frameworks, and governance practices to support machine learning, generative AI, and data science workloads.
• Partner with cross-functional stakeholders to identify high-value AI use cases and drive end-to-end solution delivery from experimentation to production.
• Ensure operational excellence through robust AI lifecycle management, model monitoring, security, compliance, and responsible AI practices.

Skills

Big Data Analytics

Machine Learning

MLOps

LLMOps

Software Engineering

Cloud Architecture

Stakeholder Communication

Team Leadership

Education

Bachelor's degree in CS/SE

Tools

Cloud platforms

LLM frameworks

Vector databases

Job description

Job Description

We are seeking a visionary and execution-focused Director of AI Engineering to lead the development and deployment of scalable AI and data-driven solutions. In this role, you will define the AI engineering strategy, build a high-performing team, and establish modern platforms and practices that accelerate innovation and business value. You will collaborate closely with business leaders, product teams, data organizations, and technology partners to operationalize AI capabilities that are secure, reliable, and measurable. This is an opportunity to shape the future of enterprise AI adoption while driving tangible outcomes through advanced analytics, machine learning, generative AI, and intelligent automation.

Your responsibilities include:

• Define and lead the enterprise AI engineering strategy, roadmap, architecture standards, and delivery model aligned to business priorities.
• Build, mentor, and scale high-performing AI engineering and MLOps teams focused on delivering production-grade AI solutions.
• Establish scalable AI platforms, frameworks, and governance practices to support machine learning, generative AI, and data science workloads.
• Partner with cross-functional stakeholders to identify high-value AI use cases and drive end-to-end solution delivery from experimentation to production.
• Ensure operational excellence through robust AI lifecycle management, model monitoring, security, compliance, and responsible AI practices.

You're our ideal candidate if you have:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• 10+ years of experience in software engineering, data engineering, machine learning, or AI solution delivery, including leadership experience managing technical teams.
• Proven experience designing and deploying enterprise-scale AI/ML platforms and production AI applications in cloud environments.
• Strong understanding of AI engineering practices including MLOps, LLMOps, model deployment, observability, governance, and automation.
• Experience leading cross-functional initiatives that integrate AI capabilities into business processes, products, or customer experiences.
• Deep technical knowledge of modern AI ecosystems, including machine learning frameworks, generative AI technologies, APIs, vector databases, and cloud-native architectures.
• Exceptional communication and stakeholder management skills with the ability to influence executive leaders and translate complex technical concepts into business value.
• A passion for innovation, continuous learning, and building inclusive, collaborative, and high-performing engineering cultures.

What's in it for you?

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local-to-global scale.

#TECHPJ

#Ll-POST

Job Skills

• Big Data Analytics
• Client Counseling
• Coaching Others
• Critical Thinking
• Decision Making
• Industry Knowledge
• Machine Learning (ML)
• Results-Oriented
• Software Engineering
• Software Product Design

Additional Job Details

• Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
• City: Toronto
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform:
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2026-06-29
• Application Deadline: 2026-08-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.