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Added 1 day ago
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QA Engineer
Suger
Vancouver, BC
- $90,000 to $120,000 CAD / year
- Full-time
…cloud marketplaces like AWS, Azure, GCP, Oracle, Alibaba, and Snowflake - now one of the fastest-growing enterprise sales…
Added 1 day ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake,…
Added 2 days ago
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BACKEND Software Engineer (AI)
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
Added 2 days ago
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Full-Stack Software Engineer (AI)
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
Added 2 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
…Data Scientists, Investment Professionals, Architects, and Platform Teams, providing technical leadership and integration expertise across one or more application…
Added 2 days ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Next Pathway is seeking an experienced Snowflake Data Engineer to support a major enterprise client that is building a new cloud data platform on Snowflake. This is a greenfield…
Added 2 days ago
ES
Software Engineering Team Lead
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Team Lead at Exchange Solutions, you are the senior hands-on engineer on your team, delivering a product area of our platform. You set the technical standard in the code your team…
Added 2 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Senior Data AI Engineer (GenAI & LLM Data Platform)
Added 2 days ago
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Data Engineer
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
Added 2 days ago
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Software Engineer
Kong
Remote, Canada
- $118,000 to $140,000 CAD / year
- Full-time
- Remote
The Software Engineer will be a key contributor to the Billing Platform Team, building and maintaining the TypeScript microservices that power Kong's commercial infrastructure. You'll work…
Added 2 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 2 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
Added 2 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
Added 3 days ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Added 3 days ago
HO
AI Engineer
Hydro One
Toronto, ON
- $80 to $88 CAD / hour
- Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 3 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 3 days ago
C
ETL Data Lead (Hybrid)
Cognizant
Halifax, NS
- Full-time
We are seeking an experienced ETL/ELT Engineer to design, develop, and maintain robust data pipelines using Informatica IICS and Snowflake. The ideal candidate will have strong SQL skills,…
Added 3 days ago
CG
Data Lead (Canada)
CSC Generation
Toronto, ON
- Full-time
…iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate…
Added 3 days ago
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Senior Staff Data Engineer
Cohere
Remote, Canada
- $275,000 to $450,000 USD / year
- Full-time
- Remote
…buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes…
Added 3 days ago
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Demo Engineer
Ashby
Canada
- Full-time
As Ashby’s first Demo Engineer, you’ll own the systems that make our demo environments reliable, current, and tailored - the infrastructure the entire go-to-market team leans on to show…
Added 3 days ago
3
Platform Data Engineer
360insights
Moncton, NB · Whitby, ON
- $93,500 to $108,500 CAD / year
The Data Platform Engineer is a hands-on, mid-level role responsible for building, maintaining, and enhancing 360insights' Microsoft Fabric data platform. Reporting to the Head of Data…
Added 4 days ago
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Senior Data & BI Analyst
BRP
Sherbrooke, QC
- Full-time
The Data Quality to Insights team owns the end-to-end data foundation on our Snowflake platform. We bridge the gap between raw data engineering and executive decision-making. Our primary…
Added 4 days ago
Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 4 days ago
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Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 4 days ago
Principal AI Architect
Robots and Pencils
Canada
…cloud, data, and AI. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice…

Robots and Pencils

Principal AI Architect

Canada

Salary Range $179,490 to $247,650.

Apply About employer

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Job details

Pay: Salary Range $179,490 to $247,650.
Experience: 8+ years of experience in software engineering, with at least 5 years in technical leadership roles
Posting language: English
Posted: Oct 21, 2026

Original job description

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 who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice on the engagements they support.

In this role, you will operate as the senior technical authority on a cross-functional team, defining architecture across cloud infrastructure, data platforms, and AI/ML workloads. You’ll partner closely with leadership and clients on technical strategy, mentor experienced engineers, and own high-stakes decisions that shape the long-term success of the systems you build.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You’ll Do

Craft & Delivery

Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements

Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies (e.g., AWS, Azure, GCP, Kubernetes)

Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., Snowflake, Redshift, BigQuery, Spark, Kafka)

Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face)

Define infrastructure as code, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, GitHub Actions)

Drive performance, scalability, cost, and reliability optimization across deployed systems

Ensure architecture meets security, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2)

Lead cloud migrations and platform modernization initiatives

Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace

Collaboration & Communication

Partner with senior leadership and clients as the principal technical voice on strategy and direction

Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike

Engage closely with engineering, data, AI, and product teams to align architecture with broader business priorities

Develop and maintain architecture documentation, standards, and guidelines

Leadership & Influence

Define and champion architectural standards and best practices on the engagements you support

Mentor experienced engineers and architects, helping them grow their technical judgment and impact

Own the most difficult architectural and integration challenges, serving as the senior technical decision-maker

Evaluate emerging technologies and recommend tools, frameworks, and patterns that improve architecture over time

What You’ll Bring

8+ years of experience in software engineering, with at least 5 years in technical leadership roles

Deep expertise in cloud platforms and cloud-native architectures (e.g., AWS, Azure, GCP)

Strong background in microservices, serverless, containers, and event-driven systems (e.g., Kubernetes, Docker, Lambda, EventBridge)

Proficiency with infrastructure as code and CI/CD (e.g., Terraform, CloudFormation, Pulumi, GitHub Actions)

Strong data architecture expertise across relational, NoSQL, and big data systems (e.g., PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, Kafka)

Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration (e.g., Airflow, Prefect, dbt)

Strong experience designing AI/ML systems for production, including LLMs, MLOps, and model serving (e.g., SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, TensorFlow)

Solid understanding of networking, security, identity, and access management in cloud environments

Experience with governance, compliance, and observability frameworks

Strong software engineering skills (Python, APIs, containerization)

Track record of senior technical leadership and mentoring experienced engineers

Strong stakeholder communication skills, with the ability to translate technical depth across audiences

Demonstrable usage of AI-forward tools such as Claude and Cursor

Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications (e.g., TOGAF, AWS/Azure/GCP) is a plus

Helpful Extras and Unique Skills

Experience designing AI/ML solutions that integrate with SAP EAM data structures (e.g., Equipment Masters, Work Orders, or Notifications) via SAP BTP or cloud-native APIs.

You’ll Do Well Here if You Are

A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.

A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.

Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.

Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.

Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.

All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.

Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.

Salary Range $179,490 to $247,650. Budget for the role is $215,000

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More about this job

Responsibilities

Lead architecture and technical strategy for complex cloud, data, and AI/ML engagements, including system design, modernization, security, reliability, and cost optimization. Serve as the senior technical authority for clients and teams, mentor experienced engineers, and establish architectural standards and guidance.

Requirements

Requires 8+ years of software engineering experience, including at least 5 years in technical leadership, with deep expertise in cloud-native systems, data platforms, and production AI/ML. Candidates should also bring strong software engineering, infrastructure-as-code, security, governance, communication, and mentoring skills; multi-cloud experience and responsible AI expertise are advantageous.

Skills

Cloud Architecture
Data Architecture
Artificial Intelligence
Machine Learning
Technical Leadership
Microservices
Serverless Architecture
Kubernetes
Infrastructure as Code
CI/CD
Data Pipelines
MLOps
Python
Cloud Security
Stakeholder Communication
Mentoring

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
Google Cloud Platform
Kubernetes
Docker
Microservices
Serverless
Event-Driven Systems
Terraform
CloudFormation
Pulumi
GitHub Actions
Snowflake
BigQuery
Apache Spark
Apache Kafka
Airflow
Prefect
dbt
SageMaker
Vertex AI
MLflow
Hugging Face
PyTorch
TensorFlow
Python
Large Language Models
MLOps
SAP BTP
Responsible AI

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