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Added 11 hours ago
M
Senior Analytics Engineer - GTM
Motive
Vancouver, BC
- Full-time
As Senior Analytics Engineer - GTM, you’ll play a key role in helping our GTM team grow our business. You’ll report to the Director of Business Intelligence joining a centralized global…
Added 12 hours ago
RI
AI Engineer
Remarcable, Inc.
Remote, Canada
- Full-time
- Remote
Experience with lakehouse or modern data stack tools (e.g., Databricks, Snowflake, dbt).
Added 14 hours ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
Experience with dbt, Snowflake Openflow, Apache NiFi or comparable data integration and transformation tools.
Added 18 hours ago
ES
Data Engineer – Snowflake, AI/ML
Enterprise Solutions Inc.
Markham, ON
- Contract
We are seeking an experienced Data Engineer with strong expertise in Snowflake, Snowflake AI/ML, Data Science, dbt Core, AWS Cloud, and modern data engineering practices. The ideal…
Added 22 hours ago
PG
Platform Engineering – Data Infrastructure III
Peoples Group
AB · Vancouver, BC · Toronto, ON · Calgary, AB
- Full-time
Experience operating data platforms or tooling (Snowflake, Airflow, dbt, Kafka) an asset
Added 22 hours ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Snowflake: warehouse sizing and cost control, Snowpark, data sharing, and Horizon governance.
Added 1 day ago
M
Staff Data Engineer
MeeruAI
Canada
- Full-time
We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation - the pipelines, connectors, and curated models that feed the platform's analytics and…
Added 1 day ago
I
Data Governance Architect
Infostrux
Toronto, ON
- Full-time
…data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a reflection of our deep expertise and…
Added 2 days ago
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Marketing Engineer & Director of AEO
Notified
Toronto, ON
- Full-time
We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and…
Added 3 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
Deep expertise and Subject Matter Expertise (SME) in Snowflake and dbt, including data modeling, transformation, testing, deployment and performance optimization.
Added 3 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
Build the data and retrieval foundation: RAG, vector search, and MCP servers over our Snowflake and dbt marts.
Added 4 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 4 days ago
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Data Engineer
Luxoft
Canada
- Full-time
…Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling, clean…
Added 4 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 4 days ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
Added 4 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
A MarTech/AdTech Engineer with strong experience in Retail Media Networks, Advertising Platforms, Cloud Data Engineering, Salesforce Marketing Technologies, Snowflake/Databricks, Identity…
Added 5 days ago
C
Senior Staff Data Engineer
Cohere
Remote, Canada
- $275,000 to $450,000 USD / year
- Full-time
- Remote
…orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is…
Added 5 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…
Added 5 days ago
XI
Analytics Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
Hands-on Databricks experience: SQL Warehouses, AI/BI Dashboards, and Unity Catalog; or equivalent modern data stack experience (Snowflake, BigQuery+ Looker or dbt).
Added 5 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector…
Added 5 days ago
S
Engineering Manager, Data
Super.com
Remote, Canada
- Full-time
- Remote
…huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude. This isn’t a place where we are convincing the business the value of data, or just using these tools…
Added 5 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Remote, Canada
- Full-time
- Remote
We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector…
Added 5 days ago
ES
Data Engineer - DBT Cloud
Enterprise Solutions Inc.
Markham, ON
- Contract
…impact data projects from inception through warranty 5 years of Snowflake dbtCoreCloud and AWS Cloud Technologies 5 years of experience with coding in multiple programming languages such as…
Added 6 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 6 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Toronto, ON
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…

Robots and Pencils

Principal AI Architect

Canada

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

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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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