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Added 1 min ago
T
Senior Data Engineer
Taiv
Winnipeg, MB
- Full-time
We are looking for a Senior Data Engineer to join our growing team!
Added 2 hours ago
OS
GenAI Prompt Engineer
Open Systems Technologies
Montreal, QC
- Contract
Added 2 hours ago
Sr Staff. Software Engineer
Kaseya Careers
Toronto, ON
We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building…
Added 3 hours ago
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Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
…AI, enterprise products, and consulting, building intelligent systems for real-world business…
Added 4 hours ago
IR
Senior Compiler Engineer
IC Resources
Toronto, ON
- Full-time
We’re looking for Senior to Staff-level Compiler Engineers to join teams tackling problems at the intersection of software, hardware, and performance-critical systems.
Added 4 hours ago
RI
Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
…scalable, resilient, secure, auditable, and compliant. The engineer will also establish feedback loops with stakeholders, understand business outcomes and ROI/AI impact, and demonstrate…
Added 7 hours ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
…techniques. This is a fantastic opportunity for a data-focused engineer who enjoys building systems from the ground up and working across both data engineering and ML workflows in a…
Added 10 hours ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Improve the performance of systems to deliver for low-latency and high-throughput use cases.
Added 10 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Improve the performance of systems to deliver for low-latency and high-throughput use cases.
Added 10 hours ago
N
Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
As an entry-level Forward Deployed Engineer based out of our Vancouver office, you will bridge the gap between Nutanix AI product engineering, cutting-edge systems research, and enterprise…
Added 14 hours ago
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Staff Machine Learning Engineer
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 15 hours ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
…understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client’s environmental…
Added 15 hours ago
GC
Machine Learning Research & Engineering Specialist
Gramian Consulting Group
Remote, Canada
- Contract
- Remote
…project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with…
Added 16 hours ago
F
Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada
FullStack
Toronto, ON
- Full-time
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI Engineer (NVIDIA + LLM Inference).
Added 16 hours ago
AC
Product Development Engineer - Mechanical Design For Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
…electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive…
Added 17 hours ago
S
Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
- Full-time
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large,…
Added 18 hours ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Design and maintain automated routing of DSAR tasks with data-owner mapping across multiple systems, SLA tracking tied to statutory deadlines, and tiered escalation as deadlines approach.
Added 19 hours ago
Staff Machine Learning Engineer
Twilio
ON
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 19 hours ago
PG
Full Stack Engineer
Pacer Group
Toronto, ON
- $55 to $58 CAD / hour
- Contract
Experience with message-based systems (Kafka) and in-memory stores (Redis).
Added 19 hours ago
AI
AI Evaluator/ Quality Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a contract role for one of our premier client in Canada for AI Evaluator/ Quality Engineer.
Added 19 hours ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Engineer features from structured and unstructured data and help ensure solutions remain robust as data evolves.
Added 20 hours ago
WT
.NET Engineer
Wissen Technology
Calgary, AB
- Full-time
We are seeking a highly skilled .NET Engineer with strong Python development experience to join our engineering team. The ideal candidate will be responsible for designing, developing, and…
Added 21 hours ago
WD
Sr. Software Engineer - Emerging Technology
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Emerging Technology Sr. Software Engineer will collaborate with engineering and production teams to build supportive tooling and agentic workflows, focusing on templates and frameworks…
Added 21 hours ago
M
Sr. AI/ML Engineer, RAIB
McKesson
Mississauga, ON
- Full-time
…scalable, and responsible AI solutions. We are seeking a Sr. AI/ML Engineer, RAIB to lead the development, evaluation, governance, and operationalization of machine learning and Generative…
Added 22 hours ago
TV
Technical Business Development Director
TandemLaunch Ventures Studio & Funds
Montreal, QC
- Full-time
…hardware-enabled technologies, machine learning, and embedded systems, working directly with researchers from major university labs. We are one of very few venture studios globally with 15+…

Closed listing

Royal Bank of Canada

Principal AI Engineer, Agentic Models and Data Platforms

Calgary, AB, T2P 1C9, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Oct 8, 2026
Experience: 10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Posting language: English
Posted: Oct 7, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description

The Principal position will be responsible for leading and delivering key AI/Agentic initiatives under the AI Reuse Development Portfolio. The ideal candidate would leverage their extensive software engineering experience in designing and implementing of such initiatives from the ground up, while also successfully navigating through the org through active stakeholder engagement.

What will you do?

Architect and implement agentic systems, including tool using agents, workflow orchestrators, and multi step reasoning pipelines that reliably execute business tasks.
Design and deliver Retrieval Augmented Generation solutions, including document ingestion, chunking, indexing, vector search, hybrid search, reranking, and grounding strategies over curated data products.
Build evaluation harnesses and quality gates, including offline test sets, golden datasets, regression suites, and metrics for factuality, safety, latency, cost, and business outcomes.
Implement observability for AI systems, including tracing across prompts and tool calls, telemetry, drift detection, and runbooks for production operations
Lead the build of batch and real time data pipelines, including inbound, outbound, and event driven flows that power analytics and AI use cases.
Design governed data products with clear contracts, documentation, lineage, and SLAs, enabling consistent consumption across domains.
Establish high quality ingestion, transformation, and serving patterns using lakehouse and warehouse paradigms, plus streaming where appropriate.
Partner with data stewards and domain teams to define data standards, quality controls, and metadata that ensure trust and reusability
Design and build backend services and APIs that expose data products, agent capabilities, and AI workflows as reliable, secure services.
Apply rigorous engineering practices, including code quality, automated testing, CI/CD, performance engineering, and secure by default design.
Build scalable runtime patterns for AI systems, including caching, rate limiting, concurrency control, idempotency, and graceful degradation.
Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.

Must Have:

Bachelor’s degree in computer science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Demonstrated experience designing and operating scalable backend architectures, including schema design, dimensional modeling, and data lifecycle management.
Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging.
Hands on experience with data engineering platforms and tools, commonly including Python, PySpark, Databricks, Airflow, Kafka, Snowflake, and modern data integration patterns.
Experience building production services and APIs, including service design, authentication and authorization, and integration patterns, Node.js and Apigee are a plus.
Practical experience delivering AI powered systems, including one or more of:
- RAG systems and vector search, embeddings, reranking, and grounding strategies
- LLM application development, structured outputs, prompt and tool calling, orchestration patterns
- AI evaluation, test harnesses, regression testing, and lifecycle management for prompts and models
- Observability for AI systems, tracing, monitoring, alerting, and cost controls

Working knowledge of security and identity frameworks such as OAuth 2.0, LDAP, Kerberos, and Vault integration, with experience operating in regulated environments.

Nice to have:

Master’s degree in computer science or equivalent experience.
Experience with agent frameworks and workflow patterns, such as graph based orchestration, tool routing, plan and execute loops, and human in the loop designs.
MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated QA.
Experience working in Agile or SAFe environments.
Experience with frontend or portal integration for AI experiences, for example Angular based portals, analytics integration, or enterprise enablement tooling.

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.
A world-class training program in financial services
Opportunities to do challenging work.

Job Skills

Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design

Additional Job Details

Address:

335 8 AVE SW:CALGARY

City:

Calgary

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-12-23

Application Deadline:

2026-10-08

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.

About employer

More about this job

Responsibilities

The Principal AI Engineer will lead the architecture and implementation of agentic systems, RAG solutions, and scalable data platforms. They will also establish high-quality engineering practices, observability, and governance for AI-powered services across the organization.

Requirements

Candidates must have a bachelor's degree in a technical field and over 10 years of professional software engineering experience. Strong proficiency in Python, SQL, and data engineering platforms is required, along with practical experience in LLM application development and system design.

Skills

Python
SQL
Spark
Databricks
Machine Learning
Software Engineering
Data Engineering
Retrieval Augmented Generation
LLM Application Development
System Architecture
Cloud Infrastructure
API Design
Data Pipelines
Observability
Agile
Critical Thinking

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Coaching and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Agentic Models
Python
SQL
Spark
Databricks
RAG
LLM
Data Pipelines
Software Engineering
API
Machine Learning
Observability
Cloud Computing
Data Governance
System Architecture
PySpark
Airflow
Kafka
Snowflake
OAuth 2.0
CI/CD
DevOps
Agile
Data Lifecycle Management
Vector Search
Prompt Engineering
Telemetry
Infrastructure as Code
Financial Services

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