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Added 1 month ago
AI Solutions Engineer
WellnessLiving
Thornhill, ON
Full-time
Basic-to-intermediate coding ability (Python, JavaScript, SQL, or similar).
Added 12 days ago
IT Manager Platform Engineering & AI Enablement
Canlan Sports
Toronto, ON · North York, ON
Full-time
Design, build, maintain, and optimize cloud infrastructure across AWS and Microsoft Azure environments.
Added 13 days ago
Lead Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
High-level expertise in programming languages such as Python, PySpark, highly proficient in both data and ML frameworks, such as Spark, Pandas etc. Experience with PySpark for Data…
Added 14 days ago
Senior Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
Full-time
5+ years of experience in software development, with a focus on Python, REST APIs, and Containers
Added 5 months ago
Data Engineer
Motive
Remote, Canada
$133,000 to $182,000 CAD / year
Full-time · Remote
As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and…
Added 5 months ago
Machine Learning Engineer
Bree Technologies (YC21)
Toronto, Ontario
$130,000 to $230,000 CAD / year
Full-time
We’re looking for a Machine Learning Engineer to build and scale high-impact, world-class ML systems. You’re passionate about deploying AI solutions, optimizing performance, and driving…
Added 2 months ago
Senior Software Engineer
Morningstar
Toronto, Ontario
Full-time
As a Senior Software Engineer, you will work closely with product owners, engineering teams, and technical leads on our next generation data feed platform. This role is primarily focused on…
Added 11 days ago
Principal Data Science and AI Engineer
RBC
Toronto, ON
Full-time
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,…
Added 13 days ago
Lead Engineer - Data
ZS
Toronto, ON
Proficiency in SQL, Python, or other relevant programming languages.
Added 12 days ago
Manager, Data Engineering and Analytics
Royal Bank of Canada
Toronto, ON
Full-time
Advanced technical expertise – Mastery in writing complex, high-performance SQL with query optimization, indexing strategies, and execution plan analysis; ability to embed optimized SQL…
Added 12 days ago
Lead Quality Engineer
Royal Bank of Canada
Toronto, ON
Full-time
The RBC Team is hiring for a Lead Quality Engineer role within the HR & CLAO IT/CRE Team. As a Lead Quality Engineer, you will be a technical leader and hands-on contributor responsible for…
Added 12 days ago
Lead Quality Engineer
RBC
Toronto, ON
Full-time
The RBC Team is hiring for a Lead Quality Engineer role within the HR & CLAO IT/CRE Team. As a Lead Quality Engineer, you will be a technical leader and hands-on contributor responsible for…
Added 12 days ago
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.
Added 12 days ago
Senior Software Engineer, AI Platform
eBay
Toronto, ON
Full-time
Hands-on experience with databases (SQL and/or NoSQL), APIs, messaging systems, and familiarity with cloud platforms (such as AWS, GCP, or Azure) and container technologies.
Added 12 days ago
Software Development Engineer Intern, ROBOTICS - 2027
Amazon
Toronto, ON
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control…
Added 12 days ago
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
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,…
Added 11 days ago
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
Full-time
3+ années expérience en rédaction de code SQL en tant qu’ingénieur analytique (analytics engineer), analyste de données (data analyst), ingénieur de données (data engineer) ou autres rôles…
Added 11 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 12 days ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
…select or design the method, define how success is measured, and implement a solution of sufficient quality to run in production. You will work alongside a Data Engineer who owns the…
Added 12 days ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
We’re looking for an authentic, collaborative, and accountable Data Engineer to join the Arcurve team.
Added 12 days ago
Principal Data Science and AI Engineer
RBC
Toronto, ON
Full-time
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,…
Added 12 days ago
Manager, Data Engineering and Analytics
RBC
Toronto, ON
Full-time
Advanced technical expertise – Mastery in writing complex, high-performance SQL with query optimization, indexing strategies, and execution plan analysis; ability to embed optimized SQL…
Added 12 days ago
Lead Cloud Software Developer - (AWS / AI / Real Time Payment Systems)
BMO
Toronto, ON · BMOPLACE
Full-time
We are seeking an experienced Lead Cloud Software Developer to design, build, and support secure, scalable, highly available, and resilient real-time payment systems. The ideal candidate…
Added 12 days ago
Senior DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
Full-time
Familiarity with databases (MongoDB, SQL/NoSQL, Postgres, Databricks) and an understanding of how data flows between systems.
Added 12 days ago
DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
Full-time
Familiarity with databases (MongoDB, SQL/NoSQL, Postgres, Databricks) and an understanding of how data flows between systems.

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</a/span>

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

Lead the design and development of platform services for autonomous AI agents and define the 12-18 month technical roadmap. Provide executive-level technical leadership and advise senior leadership on AI strategy, investment priorities, and operational excellence.

Requirements

Requires a degree in Computer Science or related field with deep expertise in Agentic AI, LLM optimization, and enterprise platform integration. Must have a proven track record of translating technical AI capabilities into business ROI and leading cross-functional engineering teams.

Skills

Agentic AI Architecture
LLM Engineering
RAG Pipeline Design
Prompt Engineering
Python
Java
C++
OpenShift
Kafka
Elasticsearch
NLP
LLMOps
Vector Databases
Knowledge Graphs
AI Strategy
Technical Leadership

Benefits

Attractive salary and benefits package
Performance bonuses
Recognition programs
Training, workshops, and conferences
Mentorship programs
Career development plans

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
LLMs
Autonomous Agents
NLP
RAG
LLMOps
Python
Java
C++
OpenShift
SQL Server
Apigee
Kafka
Elasticsearch
AWS
Azure
GCP
Vector Databases
Knowledge Graphs
Reinforcement Learning
Transfer Learning
Terraform
Kubernetes
CI/CD
Data Science
Predictive Analytics
Big Data Management
Banking

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