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Added 5 months ago
Specialist - Software Engineering
LTM
Ontario · Ontario, Canada
$90,788 to $103,800 USD / year
Full-time
Job Title: Specialist - Software Engineering (Java Backend Engineer)
Added 5 months ago
Analyste qualité (IA et automatisation)
CGI
Montreal, Quebec
Full-time
CGI is seeking a Quality Engineer with expertise in automation and AI-driven testing to support client delivery and enhance quality engineering practices.
Added 5 months ago
Senior Software Engineer
Kunai
Montreal, Quebec
$50,000 to $200,000 USD / year
Full-time
Job Title: Senior Java Software Engineer – Financial Services
Added 6 months ago
Best Senior Backend Engineera
Kombo
Toronto, Ontario
Full-time
We're looking for a Senior Backend Engineer to join our growing engineering team in Toronto, Canada. In this role, you will design, develop, and maintain scalable backend systems that power…
Added 1 month ago
Senior Java Dev (Java, Kafka) (Hybrid)
Cognizant
Toronto, ON
Full-time
Cognizant’s Digital Engineering practice is seeking a highly qualified Senior Java Dev ( Java, Kafka) with min 8+ years’ experience developing and building high-performing, scalable,…
Added 11 days ago
Java Software Engineer
Aptonet
Vancouver, BC
Contract
We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will…
Added 11 days ago
Senior Software Engineer – Java, Cloud & Distributed Systems
PRI Global
Vancouver, BC
Contract
This role is ideal for a hands-on engineer with strong Java, Spring, gRPC, Kubernetes, CI/CD, SQL, and cloud experience. You will contribute to architecture and design decisions, mentor…
Added 12 days ago
Data Engineer
CANADIAN AIR TRANSPORT SECURITY AUTHORITY
Ottawa, ON
The Data Engineer is responsible for analyzing, developing, implementing, and supporting CATSA’s business data solutions such as data engineering, Extract, Transform, Load (ETL)…
Added 12 days ago
Data Engineer
CANADIAN AIR TRANSPORT SECURITY AUTHORITY
Ottawa, ON
The Data Engineer is responsible for analyzing, developing, implementing, and supporting CATSA’s business data solutions such as data engineering, Extract, Transform, Load (ETL)…
Added 11 days ago
Software Engineer, Tokenization
Robinhood
Toronto, ON
As a Software Engineer, you'll build and own backend services that make tokenized equities work end to end - issuance, custody, and settlement on-chain, kept in sync with traditional…
Added 11 days ago
Senior Software Engineer, Tokenization
Robinhood
Toronto, ON
As a Senior Software Engineer, you will design and build the core systems that issue, custody, and settle tokenized equities on-chain and keep them in sync with traditional brokerage and…
Added 11 days ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
As a Staff Machine Learning Engineer, you will set the technical direction for how OpenTable builds, serves, and operates machine learning systems in production. You will partner with…
Added 5 months ago
Senior Solutions Engineer - Australia / New Zealand
LaunchDarkly
Ottawa, Ontario
Full-time
As a Senior Solutions Engineer, you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the ANZ Market
Added 3 months ago
(Canada) - Junior Site Reliability Engineer
PointClickCare
Mississauga, Ontario
Full-time
The purpose of this role is to help monitor, improve, and engineer production systems so they are reliable and meet client expectations. The Site Reliability Engineer works to ensure…
Added 16 days ago
Junior Software Engineer-Global Payments Engineering
Scotiabank
Toronto, ON
Technical understanding – as a standard Software Engineer there will be expectations that you are able to lead technical discussions, challenge design and strategy
Added 16 days ago
Software Engineer, Payments Integration & Modernization
Scotiabank
Toronto, ON
Technical understanding – as a standard Software Engineer there will be expectations that you are able to lead technical discussions, challenge design and strategy
Added 3 months ago
Software Development Engineer II, WW Prime Tech
Amazon
Vancouver, British Columbia
…use a variety of core languages and technologies including Java, Python and the latest AWS…
Added 2 months ago
Backend Engineer
Devoted Studios
Remote, Canada
Remote
This is not a server-side feature developer who hands services to an ops team once they ship. It is an engineer who architects the service, deploys it, monitors it in production, responds…
Added 25 days ago
Systems Test Engineer
Clarius Mobile Health
Vancouver, BC
Full-time
As our Systems Test Engineer, you'll play a vital role in the ongoing development and release of high-quality ultrasound scanners used across a wide range of medical applications. Working…
Added 11 days ago
Senior Lead Software Engineer, Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
Full-time
Strong programming skills in languages such as Kotlin, Scala, Java, C#.
Added 11 days ago
Principal Software Engineer, Back End - L7 (Bangkok based, Relocation provided)
Agoda
Toronto, ON
Full-time
Strong programming skills in languages such as Kotlin, Scala, Java, C#.
Added 11 days ago
Principal Software Engineer, Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
Full-time
Strong programming skills in languages such as Kotlin, Scala, Java, C#.
Added 11 days ago
Forward Deployed Engineer
Synechron
Montreal, QC
Full-time
Substantial production software development experience in Python, TypeScript/JavaScript, C#, Java, or a comparable language.
Added 11 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 11 days ago
Software Engineer
My Beacon
Toronto, ON
We’re looking for a hands-on Full-Stack Software Engineer who enjoys solving problems, learning new things, and building software that makes a real impact.

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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