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Added 6 hours ago
E
Principal Software Engineer
EngRadar
Kitamaat 2, BC
- Full-time
As a Principal Software Engineer on Conga’s B2B Platform Engineering, Core Services team, you’ll own the security, identity, and access management capabilities that every Conga B2B product…
Added 1 day ago
Principal Software Engineer
Conga
Canada
As a Principal Software Engineer on Conga’s B2B Platform Engineering, Core Services team, you’ll own the security, identity, and access management capabilities that every Conga B2B product…
Added 1 day ago
AI
Principal Consultant – AWS Data Platforms & Agentic AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
12+ years across Data Platforms, Cloud Engineering, Platform Engineering or Architecture.
Added 1 day ago
Principal Engineer
Scotiabank
Toronto, ON
Contributes to the overall success of the Cloud Security Engineering function by ensuring long‑term technical vision and roadmap is defined and maintained, focusing on future development,…
Added 2 days ago
S
Principal Research Scientist
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 days ago
I
Resiliency Architect
Intact
Montreal, QC
- Full-time
We are seeking a Resiliency Architect to define and drive our end-to-end resiliency architecture and production reliability posture across Azure, AWS, Google Cloud, and on‑prem environments.
Added 2 days ago
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Principal Azure Cloud Platform Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
As a Principal Azure Platform Engineer, you will play a hands‑on engineering role within BMO’s Azure cloud ecosystem. You will be responsible for designing, building, and operating secure,…
Added 2 days ago
C
Principal Architect
Camis
Guelph, ON
- Full-time
We are committed to building software that stands the test of time, and we're looking for a Principal Architect to define the technical direction of our Parks & Recreation platform.
Added 2 days ago
Senior Pre-Sales Solutions Architect – AI Agent & Workload Security
Tigera
Vancouver, BC
This role is ideal for a forward-thinking pre-sales professional or platform/security engineer eager to spearhead AI agent security while the category is being defined. You don’t need to be…
Added 2 days ago
W
Sr AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal AI Engineer in Agent Factory, you will lead the end-to-end system design, architectural framework, and product integration of Workday’s next generation of intelligent agents.…
Added 3 days ago
GV
Spécialiste digitalisation et configuration produit (Plateforme Genesis) / Product data specialist (Platform PLM Genesis)
GE Vernova
La Prairie, QC
- Full-time
Nous recherchons un ingénieur principal, données de produits, pour concevoir et optimiser les systèmes numériques régissant nos disjoncteurs haute tension conçus sur commande (ETO). Ce rôle…
Added 3 days ago
IM
AWS Solutions/Services Architect
Ingram Micro
Montreal, QC · Mississauga, ON · ON · Canada - Ontario - Corporate
- Full-time
…bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and…
Added 3 days ago
Principal AI Architect
Robots and Pencils
Canada
We’re looking for a Principal Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI. This role is ideal for a deeply experienced engineer…
Added 3 days ago
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Associate Principal Engineer -- Salesforce Technical Architect
Nagarro
Mississauga, ON
- Full-time
Design scalable, secure, high-performing solutions leveraging Salesforce Sales Cloud, Service Cloud, and Core Platform capabilities.
Added 4 days ago
IG
Full Stack Engineer
Insight Global
Vancouver, BC
- $46 to $55 CAD / hour
- Contract
Design and implement secure RESTful APIs, reusable services and integrations using Java, Spring Boot and Spring Cloud.
Added 4 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Job Title: Principal Software Engineer - Zynque
Added 4 days ago
RB
Senior Principal AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 5 days ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
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…
Added 5 days ago
BS
Senior Product Operations Manager
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
Background in product operations or similar roles; experience as a Product Manager, Engineer, or Designer is a strong plus.
Added 5 days ago
BS
Senior Software Developer
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
This is an excellent opportunity for a passionate engineer who enjoys technical ownership, continuous learning, and driving innovation in a collaborative environment.
Added 5 days ago
BS
Senior Software Engineer
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
This is an excellent opportunity for a passionate engineer who enjoys technical ownership, continuous learning, and driving innovation in a collaborative environment.
Added 5 days ago
TG
Principal Automation Engineer (12 Month Contract)
TMX Group
Toronto, ON
- $125 to $145 CAD / hour
- Full-time
As the Principal Automation Engineer, you will serve as the strategic leader for infrastructure automation across TMX Group, driving the transition toward a "Platform Engineering" model…
Added 5 days ago
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Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
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…
Added 5 days ago
SL
Principal AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Canada IT – Platforms and Engineering Domain is looking for a Principal AI Engineer with at least 10 years of engineering experience. This role will be instrumental in driving innovation,…
Added 5 days ago
Technical Account Manager , Enterprise
Amazon
Toronto, ON
- Experience as a technical account nanager, consultant, solutions architect, platform engineer, systems engineer, cloud architect or in a similar role

RBC

Principal AI Engineer, AI DLC Platform

Toronto, ON, Canada

Full-time

Apply About employer

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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.

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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

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