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Added 6 mins ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 37 mins ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Quality Engineer (QE) / SDET specializing in AI Chatbot Validation to lead the quality assurance, accuracy testing, and response analysis of our conversational…
Added 1 hour ago
IR
Metallurgical Tech. 185331UO
Ivaco Rolling Mills
L'Orignal, ON
- Full-time
Upon request, under the guidance of the Metallurgical Engineer/Supervisor Met. Services, investigate root cause of defects in the product failed in the field; prepares detailed…
Added 1 hour ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job TitleQuality Engineer (QE) / SDET – AI Chatbot ValidationKey Roles & Responsibilities• Validate chatbot responses for accuracy, relevance, completeness, and consistency.• Create and…
Added 1 hour ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- $180,000 to $230,000 USD / year
- Full-time
We’re looking for a MarTech / Growth Engineer to sit at the intersection of Marketing, Engineering, Data, Product, and Operations.
Added 1 hour ago
S
Junior AI-Accelerated Developer
Spare
Remote, Canada
- $70,000 to $101,000 CAD / year
- Full-time
- Remote
Apply checklists and QA steps before senior engineer review
Added 2 hours ago
CT
Data Engineer, Enterprise Data, Insights & Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
As a Data Engineer, Enterprise Data, Insights & Analytics, you will design, build, and maintain scalable data pipelines that support accurate, timely financial reporting and analytics. This…
Added 2 hours ago
A
Project engineer, Rolling stock vehicules
AtkinsRéalis
Montreal, QC
- Full-time
A Project Engineer is responsible for providing technical and contractual oversight pertaining to the end‑to‑end delivery of rolling stock vehicles. Projects could consider heavy rail,…
Added 3 hours ago
R
Lead Software Developer
RBC
Toronto, ON
- Full-time
Minimum 7 years of overall development experience in .NET technologies as a Software Engineer working within professional software engineering practices for the full software development…
Added 3 hours ago
LG
Environmental Lead, Highway Maintenance and Infrastructure
LaPrairie Group
Calgary, AB
- Full-time
Professional Engineer (P.Eng.) or Professional Geoscientist (P.Geo.) designation with APEGA, or eligibility for registration with APEGA, would be an asset.
Added 3 hours ago
LG
Environmental Lead, Highway Maintenance and Infrastructure
LaPrairie Group
Grimshaw, AB
- Full-time
Professional Engineer (P.Eng.) or Professional Geoscientist (P.Geo.) designation with APEGA, or eligibility for registration with APEGA, would be an asset.
Added 3 hours ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 3 hours ago
Q
ML Architect
Quantiphi
Canada
- Full-time
As an Architect, Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business…
Added 4 hours ago
MP
Metallurgical Tech. 185331UO
Metal Processing Group, an Affiliate of The Heico Companies
L'Orignal, ON
- Full-time
Upon request, under the guidance of the Metallurgical Engineer/Supervisor Met. Services, investigate root cause of defects in the product failed in the field; prepares detailed…
Added 4 hours ago
G
Customer Engineering and Reliability
GoFleet
Mississauga, ON
- Full-time
We are looking for a engineer who enjoys figuring out why something isn't working, rather than simply closing a ticket.
Added 4 hours ago
H
Project Manager - Environmental Assessment
HDR
Toronto, ON
- Full-time
Requires professional engineering license recognized by the licensing board for the location of the position offered. Example: Professional Engineer (PE or P.Eng) license.
Added 4 hours ago
EI
Highway Engineer
Egis in Canada
Toronto, ON
- $80,000 to $120,000 CAD / year
- Full-time
Highway Engineer is responsible for leading multidisciplinary transportation infrastructure projects. The role supports the planning, detailed design, coordination, and delivery of highway…
Added 4 hours ago
S
Senior Structural Engineer
Sedgman
Vancouver, BC
- Full-time
Sedgman Canada Ltd is currently looking for a Senior Structural Engineer to join our team in Vancouver, B.C. He/she will be responsible for leading and providing technical support on…
Added 4 hours ago
EG
Highway Engineer
Egis Group
Toronto, ON
- $80,000 to $120,000 CAD / year
- Full-time
Highway Engineer is responsible for leading multidisciplinary transportation infrastructure projects. The role supports the planning, detailed design, coordination, and delivery of highway…
Added 4 hours ago
EG
MTO Highway Design Lead
Egis Group
Ottawa, ON
- Full-time
Added 4 hours ago
EG
OCS Lead
Egis Group
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
Professional Engineer (P.Eng.) designation in Ontario.
Added 5 hours ago
EI
OCS Lead
Egis in Canada
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
Professional Engineer (P.Eng.) designation in Ontario.
Added 5 hours ago
EI
MTO Highway Design Lead
Egis in Canada
Ottawa, ON
- Full-time
Added 5 hours ago
Engineer, Capital Projects - Referral Eligible
Trans Mountain
Edmonton, AB
Trans Mountain is seeking a collaborative, motivated, and values driven individual to join our dynamic team as a Engineer in the Capital Projects team. In this position, you will play a key…
Added 5 hours ago
P
Quality Assurance Engineer
Paymentus
Richmond Hill, ON
- $70,000 to $100,000 CAD / year
- Full-time
At Paymentus, the QA Engineer plays a key role in quality assurance and control of our products, services, and team delivery. The QA Engineer combines quality assurance, engineering, and…

RBC

Principal AI Engineer, Agentic Models and Data Platforms

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: 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

Original job description

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</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 delivery of agentic AI systems, RAG solutions, evaluation and observability capabilities, and scalable data pipelines and governed data products. Build secure, reliable backend services and reusable platform components while partnering with stakeholders and domain teams to establish standards and support production operations.

Requirements

Requires a bachelor’s degree in computer science or a related technical field, or equivalent experience, and 10+ years of professional software engineering experience with strong Python and SQL skills. Candidates should have experience with scalable backend and data engineering systems, production APIs, AI-powered applications, and security in regulated environments; a master’s degree and experience with agent frameworks, MLOps/LLMOps, DevOps, and Agile or SAFe are preferred.

Skills

Python
SQL
PySpark
Databricks
Apache Spark
Apache Airflow
Apache Kafka
Snowflake
Agentic AI Systems
Retrieval-Augmented Generation
Vector Search
Backend Architecture
Data Engineering
API Development
AI Evaluation
OAuth 2.0

Benefits

Bonuses
Flexible Benefits
Competitive Compensation
Commissions
Stock
Coaching and Development Opportunities
Training Program

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Databricks
Databricks SQL
Apache Spark
Apache Airflow
Apache Kafka
Snowflake
Node.js
Apigee
Agentic AI
Retrieval-Augmented Generation
Vector Search
Embeddings
Reranking
LLM Application Development
AI Evaluation
AI Observability
Data Engineering
Data Products
Lakehouse
Data Warehousing
Streaming Data
Backend Services
API Development
OAuth 2.0
LDAP
Kerberos
Vault

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