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Added 14 mins ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect data ingestion, integration, batch, streaming, and data engineering solutions supporting enterprise analytics and AI use cases.
Added 44 mins ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data & Analytics Solutions Architect
Added 44 mins ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Senior years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Added 44 mins ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Added 44 mins ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…Software Engineering, with a proven track record of delivering enterprise-scale…
Added 1 hour ago
Principal Product Acceleration Specialist - Auth0
Okta
Toronto, ON
…long-term retention across Okta’s most complex and strategic enterprise accounts, specifically targeting the top end of the Global 2000 (G2K). In this highly technical, developer-centric…
Added 2 hours ago
TT
Oracle AI Architect
Tech Talent International
Brampton, ON
- Contract
Job Description: Oracle AI Architect responsible for designing and delivering enterprise-grade AI, Generative AI, and Agentic AI solutions leveraging Oracle Cloud Infrastructure (OCI),…
Added 2 hours ago
Field Application Engineer (Integrated Photonics)
Axiomatic_AI
Toronto, ON
…and engineering leadership to identify critical bottlenecks, architect deployable solutions, and integrate AI-assisted workflows into real engineering…
Added 2 hours ago
TC
Data & Analytics Solutions Architect - Hadoop
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 3 hours ago
TI
Delivery Lead
Techpros IT Solutions Inc.
Toronto, ON
- Contract
Company Description Techpros IT Solutions Inc. provides end-to-end technology services and support across modern enterprise platforms. The team specializes in Salesforce, DevOps, Salesforce…
Added 8 hours ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
As a Senior Data Architect, you'll lead the design and implementation of modern data platforms for enterprise clients across Energy, Financial Services, and Public Sector. You'll work…
Added 8 hours ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
As an Azure Solutions Consultant, you'll design and implement modern data platforms on Azure for enterprise clients. You'll build end-to-end data pipelines, implement lakehouses, and create…
Added 11 hours ago
Data Solutions Architect
Rogers Communications
Calgary, AB · Brampton, ON
We’re looking for a hands-on Data Solution Architect to design and deliver scalable, secure, and reusable data solutions.
Added 11 hours ago
C
Principal Machine Learning Engineer, AISWP (Hybrid)
Cisco
Vancouver, BC
- Full-time
Architect Enterprise Solutions: Collaborate with core engineering to transition your prototypes into secure, multi-tenant, and scalable services that support Cisco’s global customer base.
Added 13 hours ago
C
Data Architect
CPKC
Calgary, AB
- Contract
The Data Architect, you will play a key role in driving the organization's data and analytics transformation by designing and delivering modern, scalable data solutions that turn complex…
Added 14 hours ago
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Member of Technical Staff 2 - AI
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries…
Added 15 hours ago
DI
Full Stack Developer – AI Python SQL Vue.js (1796) $75-80hr
Direct IT Recruiting Inc.
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior Full Stack Developer with proven leadership in delivering complex AI solutions. This lead role requires hands-on experience with Generative AI, including…
Added 15 hours ago
Senior Assurance Solutions Architect, AWS Security Assurance Services
Amazon
Ottawa, ON
…and ingenuity of our builders to establish scalable security solutions for both internal and external customers that drive business outcomes. Our goal of securing the world's workloads and…
Added 17 hours ago
VT
Data & Analytics Solutions Architect
Vaspire Technologies Inc.
Toronto, ON
- Full-time
Looking for a 14+ years experienced Data Architect with strong expertise in Hadoop, HDFS, YARN, Spark/PySpark, Kafka, Hive, SQL, Python/Java/Scala. The role focuses on Big Data/Data Lake…
Added 17 hours 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 17 hours ago
CT
Solutions Architect
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Architect solutions across domains including:
Added 18 hours 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 18 hours 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 18 hours ago
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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 18 hours 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…

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.

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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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

About employer

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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