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Added 18 days ago
Principal Data Science and AI Engineer
RBC
Toronto, ON
Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 18 days ago
Senior Design/Verification Engineer
Semtech
Burlington, ON · Ottawa, ON · CAN - Burlington, ON
Full-time
Experience with related programming/scripting languages (i.e., Python, TCL, Perl, C.)
Added 18 days ago
Senior Software Engineer, AI Platform
eBay
Toronto, ON
Full-time
…faster while maintaining high quality and performance. As a Senior Software Engineer – Backend, you will architect and develop core platform services, solving complex technical problems and…
Added 18 days ago
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 18 days ago
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 18 days ago
Intermediate Observability Engineer
CI Financial
Toronto, ON
Full-time
Collaborate with senior engineers and cross-functional teams to document standards, improve adoption, and support enterprise monitoring initiatives.
Added 1 month ago
Lead AI Security Automation Engineer
State Street
Toronto, ON
Full-time
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Lead AI Security Automation Engineer to shape the next generation of cybersecurity data, analytics, and AI-powered…
Added 18 days ago
Senior Observability Engineer
CI Financial
Toronto, ON
Full-time
We are seeking a Mid-Level Observability Engineer to help build, maintain, and enhance our enterprise monitoring and observability capabilities across cloud and hybrid environments. This…
Added 18 days ago
Principal Data Science and AI Engineer
RBC
Toronto, ON
Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 18 days ago
Senior Data Engineer (Hadoop Migration)
Capgemini
Toronto, ON
Senior Data Engineer role to be part of our scrum teams and perform functional & system development for Hadoop applications for our Enterprise Data Lake initiative.
Added 18 days ago
Director, Data Engineering & Product Data
Indigo Books & Music
Toronto, ON
$125,000 to $170,000 CAD / year
Full-time
Indigo is a physical and digital place inspired by and filled with books, ideas, beautifully designed lifestyle products, and the creative people who help make it all happen. We believe in…
Added 18 days ago
Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
Full-time
…organizations, we’re scaling rapidly and seeking a talented, innovative Senior Software Engineer to join our growing team. As one of our early hires, you’ll play a critical role in shaping…
Added 18 days ago
Director, Data Engineering & Product Data
Indigo
Toronto, ON
$125,000 to $170,000 CAD / year
Full-time
Indigo is a physical and digital place inspired by and filled with books, ideas, beautifully designed lifestyle products, and the creative people who help make it all happen. We believe in…
Added 18 days ago
Generative AI Engineer
Soho Square Solutions
Montreal, QC
Contract
Duration: 1-Year contract with possibility of extension
Added 17 days ago
Lead Quantitative Financial Engineer
SS&C Technologies
Toronto, ON
Full-time
We're seeking a senior quantitative risk professional with strong financial engineering expertise, advanced programming skills, and practical AI experience. The ideal candidate can design…
Added 1 month ago
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
This senior expert role is pivotal in advancing PowerCo’s data-driven and cloud transformation. You will architect and lead Azure-based data and compute platforms that support predictive…
Added 16 days ago
Senior DevOps Engineer
Unity Technologies
Montreal, QC
Full-time
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies…
Added 23 days ago
Staff Software Engineer, Fullstack
Fivetran
Toronto, ON
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – UI, authentication,…
Added 2 months ago
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
$90,000 to $130,000 CAD / year
The Forward Deployed Engineer is Greenlight’s most senior technical delivery role. You design, build, and operationalize AI agent workflows and intelligent automation solutions - embedded…
Added 2 months ago
Senior Software Engineer
Boosted.ai
Newfoundland and Labrador
Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that empower organizations.…
Added 1 month ago
Senior Agentic Software Engineer
Lantern
Edmonton, AB
As a Senior Software Modernization Engineer, you'll work directly with enterprise software engineering organizations to help modernize applications, improve developer productivity,…
Added 2 months ago
Senior Substation Electrical Engineer 1 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
Full-time
This position offers you the opportunity to work in a project team environment with other engineers and designers involved in the detailed electrical design and project management of high…
Added 2 months ago
Lead Substation Engineer 1 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
Full-time
Guide junior and senior-level engineers and designers in protection and controls engineering design efforts, including providing guidance with the coordination of detailed design phases for…
Added 2 months ago
Senior Software Engineer, Notebooks
Snowflake
Toronto, ON
$245,250 to $295,250 CAD / year
Full-time
…who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.…
Added 2 months ago
Senior Data Engineer
iQmetrix
Winnipeg, MB
Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…

RBC

Principal Data Science and AI Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Sep 9, 2026

Apply About employer

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Original job description

Job Description

What is the opportunity?

Are you ready to lead transformative AI initiatives and drive innovation at enterprise scale? Do you excel in environments of rapid technological advancement and thrive on solving complex, high-impact challenges? Are you passionate about shaping the future of businesses through cutting-edge AI solutions and influencing organizational strategy?

As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and fine-tune large language models (LLMs) and other deep learning technologies. This role offers a unique opportunity to define the technical roadmap, drive enterprise-wide adoption, and lead the design and implementation of intelligent systems that redefine how we operate and deliver value. You will provide technical leadership across multiple squads and domains, advise senior leadership on AI strategy and investment priorities, and be accountable for the measurable business impact of AI platform capabilities. This is your chance to engage with state-of-the-art AI technologies, influence organizational direction at the executive level, and make a lasting impact on the industry.This role is designed for a visionary technical leader who is passionate about advancing AI technologies and driving meaningful, measurable change. If you are ready to take on this challenge, we invite you to join us and shape the future of AI and Advice Center at RBC.

What will you do?

Lead the Design and Development of Platform Services for Autonomous AI Agents

Engineer, design, and enable the development of platform services that enable autonomous AI agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka, Elasticsearch, etc.
Design APIs and natural language interfaces for AI agents to perform tasks like diagnostics, remediation, and maintenance.
Integrate data (Metrics, Events, Logs, Traces) to power AI-driven anomaly detection and automation.
Drive AI experiments from proof-of-concept through production deployment, establishing LLMOps practices, model governance, and lifecycle management frameworks.

Strategic Ownership and Roadmap

Define and own the 12–18 month technical roadmap for AI platform services, aligning with organizational priorities and business objectives.
Evaluate build-vs-buy decisions for AI infrastructure components, tooling, and vendor selection.
Influence organizational investment priorities through technical analysis, competitive landscape assessment, and strategic recommendations.
Accountable for the success, adoption, and ROI of AI platform capabilities across the enterprise.
Define and track KPIs for AI-driven solutions, reporting outcomes to senior leadership.

AI-Driven Innovation to Serve Intelligent Advice Center

Optimize platform services for generative AI models and autonomous workflows.
Apply AI techniques like reinforcement learning and transfer learning to enhance Advisor and Client experience.
Experiment with emerging AI technologies to elevate digital channels, advisor and client interaction management and optimize client experience.
Establish standards for responsible AI, model governance, and ethical AI practices across the organization.

Provide Technical Leadership and Executive Influence

Lead architecture design, code reviews, and technical discussions for high-quality platform solutions.
Bridge platform teams and AI squads to ensure seamless integration and alignment across multiple domains.
Promote best practices for platform management, AI integration, and automation across teams.
Make high-impact technical decisions on architecture, tooling, and vendor selection with enterprise-wide implications.
Act as the final technical escalation point for complex AI system issues.
Own technical risk assessment for AI initiatives and communicate risk posture to leadership.
Advise senior leadership (VP+/SVP) on AI strategy, capabilities, and emerging opportunities.
Present to executive steering committees on technical direction, progress, and business impact.

Ensure Operational Excellence

Implement monitoring frameworks to ensure reliable AI-driven workflows at enterprise scale.
Address scalability and resilience challenges in advice centers integrated with AI agents.
Enforce security, compliance, and data privacy standards across platform operations for AC.
Establish SLAs and reliability targets for AI-powered systems, ensuring accountability for uptime and performance.

Talent Development and Organizational Impact

Mentor team members, fostering a culture of innovation and technical excellence across the engineering organization.
Participate in hiring decisions and shape talent strategy for AI engineering teams.
Define competency frameworks and career paths for AI engineers at all levels.
Raise the technical bar across the engineering organization through standards, guidelines, and technical leadership.
Document and share knowledge on platform enablement and AI integration processes.
Represent DPD team in internal and external forums, showcasing the impact of platform initiatives.
Publish thought leadership, contribute to internal tech radar, and represent the organization at industry conferences.

What do you need to succeed?

Must-Have:

Specialized AI Skills:

Agentic AI Architecture - Design and orchestrate multi-step autonomous AI agents with tool use, memory, planning, and guardrails (e.g., ReAct, function calling, agent loops, human-in-the-loop patterns)
LLM Engineering & Optimization - Prompt engineering at scale, RAG pipeline design, fine-tuning, embedding strategies, context window management, model evaluation, and cost/latency optimization for production workloads, vector databases, knowledge graphs, data chunking strategies, grounding datasets, and feedback loops for continuous model improvement
AI Strategy & Enterprise Enablement - Translate business problems into AI solution architectures, evaluate model/vendor trade-offs (open-source vs. proprietary, build vs. buy), define responsible AI standards, and drive organizational AI adoption beyond individual productivity

Educational Background:

Bachelor's or Master's or preferably PhD degree in Computer Science, Engineering, Mathematics, or related field.

Software Development Expertise:

Proficiency in Python, Java, or C++ with a strong grasp of software engineering principles.

Platform Integration Knowledge:

Experience with enterprise platforms like OpenShift, SQL Server, Apigee, Kafka, Elasticsearch, and cloud environments (AWS, Azure, GCP).
Familiarity with AC tools, Digital and Conversational banking and automated operations workflows.

AI Integration Skills:

Hands-on experience with generative AI and large language models (LLMs).
Expertise in NLP techniques and programmatic API usage of LLMs.
Experience establishing LLMOps pipelines and model lifecycle management.

Strategic and Business Acumen:

Demonstrated ability to translate technical capabilities into business outcomes and ROI.
Experience defining technical roadmaps and influencing investment decisions.
Track record of delivering AI initiatives with measurable enterprise-wide impact.

Leadership and Collaboration:

Strong communication skills to simplify technical concepts for executive and non-technical audiences.
Proven ability to lead agile teams and drive cross-functional collaboration across multiple squads and domains.
Experience advising VP+ leadership and presenting to executive steering committees.
Track record of hiring, developing, and retaining top engineering talent.

Nice to Have:

Expertise in reinforcement learning, autonomous agents, or advanced AI techniques.
Familiarity with infrastructure-as-code tools like Terraform, Kubernetes, and CI/CD pipelines.
Certifications in AI/ML or contributions to open-source projects or top-tier publications.
Industry speaking engagements or published thought leadership in AI/ML domains.

What's in it for you?

Work on groundbreaking AI projects that have a significant impact on the industry.
Be part of a forward-thinking team that values creativity and innovation.
Opportunities for continuous learning through training, workshops, and conferences.
Mentorship programs and career development plans to help you reach your goals.
Attractive salary and benefits package that rewards your expertise and contributions.
Performance bonuses and recognition programs.

#TechPJ

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

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:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-09

Application Deadline:

2026-10-31

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.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

The Principal AI Engineer will lead the design and development of autonomous AI agent platforms and define the strategic technical roadmap for enterprise-wide AI adoption. They will also provide technical leadership to cross-functional squads and advise senior leadership on AI strategy, investment priorities, and measurable business impact.

Requirements

Candidates must possess a Bachelor's, Master's, or PhD in a technical field with extensive experience in AI architecture, LLM engineering, and software development. Strong leadership skills, the ability to influence executive stakeholders, and a proven track record of delivering high-impact AI solutions are essential.

Skills

Artificial Intelligence
Machine Learning
Large Language Models
Agentic AI Architecture
Python
LLMOps
Data Science
Natural Language Processing
Cloud Computing
Software Engineering
Strategic Planning
Technical Leadership
API Design
System Architecture
Model Governance
Reinforcement Learning

Benefits

Performance bonuses
Recognition programs
Mentorship programs
Career development plans
Training
Workshops
Conferences

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
Agentic AI
LLMOps
Python
Java
C++
OpenShift
SQL Server
Apigee
Kafka
Elasticsearch
AWS
Azure
GCP
Reinforcement Learning
Transfer Learning
Data Science
Predictive Analytics
Natural Language Processing
Technical Roadmap
Enterprise Architecture
Model Governance
Digital Banking
Automated Operations
Infrastructure as Code
Kubernetes
CI/CD
Strategic Leadership

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