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Added 11 mins ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
…maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so…
Added 16 mins ago
CT
Solutions Architect
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Architect solutions across domains including:
Added 43 mins ago
C
Guidewire Technical Architect - InsuranceNow
Cognizant
Canada
- Full-time
We are seeking an experienced Guidewire InsuranceNow Technical Architect with deep expertise in Guidewire InsuranceNow (ACX) and Pet Insurance platforms. This role will lead the…
Added 59 mins ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
Design and implement Data360 solutions that unify CRM, transaction, portfolio, behavioural, and enterprise data into trusted customer profiles.
Added 59 mins ago
T
Test Automation Consultant
Tekshapers
Toronto, ON
- Contract
We are seeking a Test Automation Architect to define, design, and govern enterprise-scale automation solutions. The role requires strong hands-on expertise in TypeScript, Playwright, and…
Added 1 hour ago
A
Manager, Data Engineering
Avanade
Toronto, ON
- Full-time
As a Lead Solution Architect within our Data & AI Practice, you'll leverage a client-centric approach to understand our client’s challenges and opportunities to deliver solutions and…
Added 1 hour ago
TC
AI Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $150,000 CAD / year
- Full-time
Design and govern AI platforms and solutions across foundation models, RAG, agent orchestration, data sources, vector search, APIs, cloud infrastructure, security controls, and…
Added 1 hour ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Architect data ingestion, batch processing, streaming, and data lake solutions for enterprise-scale environments.
Added 1 hour ago
KG
Enterprise Data Architect – Big Data & Hadoop Modernization
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
Position: Enterprise Data Architect – Big Data & Hadoop Modernization
Added 1 hour ago
C
Lead Enterprise Architect – Payments & Security
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Lead Enterprise Architect – Payments & Security to join our Financial Services practice and provide technical leadership on a long-term strategic engagement…
Added 1 hour ago
Solutions Architect, Professional Services
Bell
Quebec, QC
Our client is seeking a Solutions Architect to support the design and evolution of its technology ecosystem. Acting as a trusted advisor, you will be responsible for defining architectural…
Added 2 hours ago
'
Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
Architect scalable analytics solutions integrating MES, SCADA, PLCs, and cloud systems
Added 3 hours ago
Application Technical Architect
Capgemini
Vancouver, BC
We are seeking an experienced hands-on Application Technical Architect to provide technical leadership for a diverse enterprise application portfolio under the Application Management…
Added 3 hours ago
M
Sr. Software Developer
McKesson
Mississauga, ON
- Full-time
● Architect and deliver cloud-native solutions using Microsoft Azure, Kubernetes, containers, microservices, and event-driven systems.
Added 3 hours ago
Senior Solutions Architect
Scotiabank
Toronto, ON
The Senior Solutions Architect will work with the Group Treasury business and technology partners to define and evolve the architecture supporting Treasury systems.
Added 3 hours ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
Design and implement Data360 solutions that unify CRM, transaction, portfolio, behavioural, and enterprise data into trusted customer profiles.
Added 3 hours ago
G
Principal AI Solutions Architect, Customer Success
Genesys
AB · Toronto, ON · ON · Quebec, QC
- Full-time
…customized self-service, IVR, routing, and AI-powered virtual agent solutions that help enterprises create more effective customer experiences. As a Principal AI Solutions Architect, you…
Added 4 hours ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Architect data ingestion, batch processing, streaming, and data lake solutions for enterprise-scale environments.
Added 4 hours ago
TC
VAM And LMS BSA
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $100,000 CAD / year
- Full-time
A Job Description (JD) containing these terms typically targets roles like Business Analyst, Product Manager, Solution Architect, Technical Lead, or Implementation Specialist within a…
Added 4 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
We are seeking a highly experienced AI Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal…
Added 5 hours ago
Senior Data Warehouse Engineer
Capgemini
Montreal, QC
…candidate will possess deep expertise in database programming and enterprise job scheduling, with a strong focus on enhancing system architecture, re-platforming legacy components, and…
Added 5 hours ago
M
RQ11475 - Software Developer - CRM - Senior
Maarut
Toronto, ON
- Contract
Architect, design, and implement Dynamics 365 Customer Service and Case Management solutions using both out-of-the-box capabilities and custom development.
Added 5 hours ago
XS
Test Automation Architect
Xaxis Solutions
Toronto, ON
- Contract
We are seeking a Test Automation Architect to define, design, and govern enterprise-scale automation solutions. The role requires strong hands-on expertise in TypeScript, Playwright, and…
Added 6 hours ago
AC
Enterprise Data Architect
Amphenol Communications Solutions
Markham, ON
- Full-time
We are seeking an Enterprise Data Architect to join our IT Applications team. This role will establish a secure, scalable, governed, and business-driven data foundation across ERP, MES,…
Added 6 hours ago
MI
Solution Architect
MFS Investment Management
Toronto, ON
- Full-time
Design and architect end-to-end solutions using Microsoft 365, Azure, Power Platform, and integration services, ensuring alignment with enterprise standards and governance.

Closed listing

RBC

Principal AI Engineer, Agentic Models and Data Platforms

Calgary, AB, 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 design and implementation of agentic AI systems, including RAG solutions and multi-step reasoning pipelines. They will also oversee the development of scalable data platforms and backend services to support AI initiatives 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 modern data engineering tools like Spark and Databricks is required.

Skills

Python
SQL
PySpark
Databricks
Airflow
Kafka
Snowflake
Machine Learning
RAG systems
Vector search
LLM application development
Software engineering
Data engineering
Cloud architecture
API design
System observability

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Coaching and development opportunities
Training program

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Agentic Models
Retrieval Augmented Generation
Python
SQL
Spark
Databricks
Airflow
Kafka
Snowflake
Machine Learning
LLM
Data Pipelines
Software Engineering
API Development
Observability
Cloud Architecture
Data Governance
Vector Search
CI/CD
DevOps
Agile
SAFe
OAuth 2.0
System Reliability
Data Modeling
Prompt Engineering
Telemetry
Distributed Systems
Backend Services

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