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Added 26 days ago
TC
Sr. Java Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Apply advanced core Java concepts including collections, concurrency, generics, streams, exception handling, and JVM memory management.
Added 26 days ago
LC
Staff Engineer
Loblaw Companies Limited
Brampton, ON
- Full-time
We are seeking a highly skilled and motivated Senior Enterprise Integration Architect to join our team. This role will be instrumental in managing and enhancing our enterprise integration…
Added 26 days ago
D
Senior Automation Engineer
DIRTT
AB · Calgary, AB
- Full-time
The Senior Automation Engineer is responsible for architecting and executing the technical automation framework that drives operations from initial order submission through to manufacturing…
Added 26 days ago
GT
Tech Support Analyst Splunk/Dynatrace
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Shift / Schedule: Monday–Friday, core business hours - 37.5 hours per week, 7.5 hours per day; overtime possible
Added 26 days ago
WT
Senior Java Software Engineer
Wissen Technology
Montreal, QC
- Full-time
Mode of Work: Onsite 3-4 days per week
Added 26 days ago
CT
Platform Engineer, Transportation Systems
Canadian Tire Corporation
Brampton, ON · Mississauga, ON · Toronto, ON
- Full-time
…transportation, logistics, supply chain, and customs. You will be a senior hands-on technical contributor focused on system stability, production support, application development, and the…
Added 26 days ago
L
Senior Application Engineer - IAM
lululemon
Vancouver, BC
- Full-time
As a Senior Application Engineer, you will lead the design and implementation of complex application solutions spanning multiple business processes and system modules, establishing…
Added 26 days ago
L
Senior Technical Program Manager
lululemon
Vancouver, BC
- Full-time
…order management, fulfillment, post-purchase experiences, and core commerce platforms, the team delivers scalable, reliable, and secure solutions that enable seamless end-to-end guest…
Added 26 days ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
…technical leadership across multiple squads and domains, advise senior leadership on AI-DLC architecture and engineering, and be accountable for the adoption and measurable business impact…
Added 26 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
…recommendation pipelines that feed real-time predictive data into core travel applications. You will own the entire lifecycle of production models, from solution architecture to automated…
Added 26 days ago
SS
Développeur(euse) logiciel senior Full Stack/Full Stack Senior Software Developer
SITA Switzerland Sarl
Montreal, QC
- Full-time
Full Stack Senior Software Developer manages the technical design, development and maintenance of applications and systems using existing and emerging technology platforms. Key player for…
Added 26 days ago
C
Senior Java Developer Solution Architect - Vice President
Citi
Mississauga, ON
- Full-time
We’re seeking a seasoned Senior Java Developer Solution Architect with 6+ years of experience to lead end-to-end technical design and delivery of mission‑critical systems. You will own…
Added 26 days ago
C
Senior Java Back - End Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We’re seeking a seasoned Senior Java Back - End Developer with 5+ years of experience to lead end-to-end technical design and delivery of mission‑critical systems. You will own architecture…
Added 26 days ago
R
Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
…technical leadership across multiple squads and domains, advise senior leadership on AI-DLC architecture and engineering, and be accountable for the adoption and measurable business impact…
Added 26 days ago
W
Senior Developer - Commercial Technology
WestJet
Calgary, AB
- Full-time
The Senior Developer, Commercial Technology is responsible for designing, building, optimizing, and supporting scalable technology solutions across Commercial Tech Services with primary…
Added 26 days ago
Principal Consultant-Sterling integrator administration Consultant
Infosys
ON
Experience in managing relationships with clients at the senior technical management level.
Added 26 days ago
MS
Senior Java Developer (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a Senior Java Developer to help transform Morgan Stanley's client onboarding and regulatory platform by designing and delivering next-generation…
Added 26 days ago
SS
Senior Java Consultant
Soho Square Solutions
Montreal, QC
- $50 to $70 CAD / hour
- Contract
5-9+ Years hands-on experience with Core-Java (server-side), Spring, RDBMS
Added 27 days ago
AS
Senior Java Developer
Axelon Services Corporation
Montreal, QC
- $65.52 CAD / hour
- Other
Minimum 5 years of hands-on experience with Core-Java (server-side), Spring, and RDBMS.
Added 27 days ago
T
Solutions Design IT Specialist
TD
Toronto, ON
- Full-time
We are looking for a Senior Java Developer / Solutions Design IT Specialist to join our Payments Engineering team and help build, maintain, and evolve high-performance, reliable,…
Added 28 days ago
R&
Business Systems & Technology Lead - Manufacturing
Robertson & Company Ltd.
Uxbridge, ON
- Full-time
Integrate core platforms, including Sage X3 ERP, internally developed CRM applications, Microsoft technologies and other standalone business systems.
Added 29 days ago
A
Senior Applied AI Developer
Autodesk
Toronto, ON
- Full-time
We are looking for a Senior Software Developer to help build the backend platform that powers these experiences. In this role, you will design and develop REST APIs, implement a flexible…
Added 29 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
Strong programming skills in Python and/or Java, with experience writing maintainable, well-tested, production-quality code.
Added 29 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 29 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- $114,400 to $203,900 CAD / year
- Full-time
As a Senior Software Engineer, you will help design, build, and operate core components of the service while solving complex challenges across distributed systems, database technologies,…

RBC

Principal AI Engineer, AI DLC Platform

Toronto, ON, Canada

Full-time

Apply on rbc.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 19, 2026

Original job description

Job Description

What is the opportunity?

The AI-DLC Platform embeds governed, agentic AI across RBC's software development lifecycle - skills, commands and guardrails spanning discovery, build/test/security and release, now running in real repositories. The next step is to take it from a governed foundation (human-approved, A0–A2) to hybrid skills and agents, and ultimately a software factory, with autonomy added only where evidence supports it.

As Principal AI Engineer you will own the technical direction of that journey. You will define the platform architecture, the production boundary between code that runs in production and agents that run in production, and the standards, pipelines and runtime that make AI-assisted delivery auditable, reproducible and safe at enterprise scale. You will provide technical leadership across multiple squads and domains, advise senior leadership on AI-DLC architecture and engineering, and be accountable for the adoption and measurable business impact of the platform.

This role suits a technical leader who combines deep agentic-AI and platform engineering skill with the judgment to work with risk, governance and engineering partners and turn policy into something that can be tested.

What will you do?

Own the AI-DLC Platform architecture (skills, commands, agents, context layer, MCP services, governance) and define the 12–18 month technical roadmap from governed foundation through hybrid skills/agents to software factory.

Define the autonomy model (A0 and beyond) with evidence, controls and approvals required before capabilities earn more autonomy.

Make high-impact build-vs-buy and vendor decisions for AI tooling, models and infrastructure; evaluate open-source vs. proprietary trade-offs.

Own the promotion pipeline from Harness validation through Helios deployment; ensure AI-generated code is auditable, reproducible, explainable and traceable to specs and prompts.

Define and enforce the boundary between AI-generated code and sanctioned agents in production; codify governance policy with Risk and Engineering teams.

Establish coding standards and spec-driven development practices (spec-kit, OpenSpec) so AI output is structurally sound before human review.

Design and build multi-agent workflows with orchestration frameworks (LangGraph, CrewAI, AutoGen) including tool use, memory, planning, guardrails and human-in-the-loop patterns.

Design tool contracts, APIs (FastAPI/gRPC) and MCP services so skills and agents are versioned and governed; build and operate the runtime with containerization, orchestration, scaling and observability. Engineer reliability into production systems through circuit breakers, graceful degradation, rollback and zero-downtime deployment; establish LLMOps including evaluation, governance, RAG strategy and cost/latency optimization.

Build monitoring and alerting that distinguishes bad models, code and platform issues; use AI to auto-generate test cases and validation checks; define the evaluation framework for certifying skills and agents.

Implement access controls, audit trails and human-in-the-loop validation; set SLAs and reliability targets; own technical risk assessment for AI initiatives.

Be accountable for platform adoption, outcomes and ROI; define and track KPIs (cycle time, quality, security, usage) and report to senior leadership.

Advise and present to executive steering committees on AI-DLC architecture, direction, progress and impact; partner with cohort teams to drive adoption.

Lead architecture design, code reviews and technical discussions; mentor engineers, participate in hiring and define competency frameworks for AI engineers.

Document and share platform knowledge; represent the platform in internal and external forums.

What do you need to succeed?

Must-have

Agentic AI architecture: Proven expertise designing and orchestrating multi-step autonomous agents with tool use, memory, planning, guardrails and human-in-the-loop patterns; hands-on proficiency with LangGraph, CrewAI or AutoGen in production environments.
LLM engineering and LLMOps: Deep competency in prompt engineering at scale, RAG and context management, evaluation frameworks, cost/latency optimization, and model lifecycle management in productio.
Tool and data integration: Strong capability designing tool contracts, APIs (FastAPI/gRPC) and MCP connections
CI/CD and infrastructure: Demonstrated mastery of CI/CD pipelines, container orchestration (Docker/Kubernetes) and infrastructure-as-code; proven work with enterprise platforms (e.g. OpenShift, Kafka, Elasticsearch, Apigee) and cloud providers (AWS, Azure, GCP).
Spec-driven development: Ability to translate user stories and requirements into precise specifications for automated execution; familiarity with frameworks like spec-kit or OpenSpec.
Automated testing and QA: Proficiency using AI to generate tests, analyze logs and run validation checks; background building scalable test automation.
Governance and security: Demonstrated ability designing human-in-the-loop validation, access controls and audit trails for automated systems; capability codifying policy into testable controls.
Software engineering depth: proficiency in Python, Java or C++ with strong engineering fundamentals.
Strategy and business acumen: Skilled at translating technical capability into business outcomes and ROI; defining technical roadmaps and influencing investment decisions; a track record of AI initiatives with measurable enterprise impact.
Leadership: Track record of advising VP+ leadership, presenting to steering committees, leading cross-functional work across multiple squads and domains, and hiring and developing engineering talent.
Education: Bachelor's or Master's degree (PhD preferred) in Computer Science, Engineering, Mathematics or a related field, or equivalent experience.

Nice-to-have

Understanding of financial services and its regulatory and risk context.
Experience with reinforcement learning, autonomous agents or other advanced AI techniques.
AI/ML certifications, open-source contributions or publications; industry speaking or published thought leadership.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Flexible work/life balance options
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
Access to a variety of job opportunities across business

#TECHPJ

Job Skills

Agentic AI, Agentic Design, Agentic Orchestration, Agentic Platforms, AI Agents, AI Architecture, AI Concepts, AI Frameworks, AI Governance, AI Platforms, AI Programming, Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Architectures, Software Development Life Cycle (SDLC) Methodologies, Software Engineering, Software Metrics, Software Product Design, Software Reengineering

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-10-19

Application Deadline:

2026-11-27

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.

Apply on rbc.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The Principal AI Engineer will own the technical direction and architecture of the AI-DLC platform, overseeing the transition from governed foundations to autonomous agentic workflows. They will lead cross-functional squads to ensure AI-assisted delivery is auditable, reproducible, and safe at enterprise scale.

Requirements

Candidates must possess deep expertise in agentic AI architecture, LLMOps, and CI/CD infrastructure, along with proficiency in Python, Java, or C++. A strong background in software engineering, governance, and the ability to influence executive leadership is essential for this role.

Skills

Agentic AI
LLMOps
Platform Engineering
Python
Java
C++
Kubernetes
Docker
CI/CD
LangGraph
CrewAI
AutoGen
FastAPI
gRPC
System Architecture
Governance

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Flexible work/life balance

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LLMOps
Platform Engineering
Python
Java
C++
Kubernetes
Docker
CI/CD
LangGraph
CrewAI
AutoGen
FastAPI
gRPC
OpenShift
Kafka
Elasticsearch
Apigee
RAG
Governance
Architecture
Cloud Computing
Infrastructure as Code
Automated Testing
System Reliability
Financial Services
Leadership
Strategy
ROI

Seniority

Lead

Perks

Flexible hours
Performance bonus
Stock or equity

Tools

LangGraph
CrewAI
AutoGen
FastAPI
gRPC
Docker
Kubernetes
OpenShift
Kafka
Elasticsearch

Languages

English

Fields of study

Computer Science
Engineering
Mathematics

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Work requirements

Jobs in Canada