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Added 1 day ago
U
Bilingual 1st party Collection Agent
UPLevel
Toronto, ON · Etobicoke, ON
- Full-time
We are looking for a 1st Party Collection Agent (internally referred to as Debt Recovery Account Manager), to help grow our business and contribute to our future.
Added 1 day ago
IS
1st Party Collection Agent - UPL
Information Services Corporation ISC
Toronto, ON · Quebec, QC
- Full-time
We are looking for a 1st Party Collection Agent (internally referred to as Debt Recovery Account Manager), to help grow our business and contribute to our future.
Added 2 days ago
Infrastructure Security Engineer
Opendoor
Toronto, ON
Drive a shift-left cloud security strategy within our pipelines using Terraform/Terrakube, GitHub Actions, Elastic Container Registry so that misconfigurations get caught at commit time.
Added 3 days ago
I
Secure System Platform Engineer
IBM
Ottawa, ON
- $129,200 to $167,200 CAD / year
- Full-time
Administer the information system to procedure - patching, accounts, backups and recovery testing, media registry and labelling, transfer logs and monthly security reporting.
Added 4 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
Implement agent governance and security using Agent Gateway, Agent Identity, Agent Registry, IAM policies, Model Armor, VPC Service Controls, Sensitive Data Protection, and responsible AI…
Added 5 days ago
CC
Directeur, Relation à la Clientèle / Relationship Manager
Computershare Canada
Montreal, QC
- Full-time
Computershare Investor Services is the division within Computershare responsible for providing Transfer Agent Services to Corporate clients as well as their shareholders.
Added 9 days ago
BU
Retail Relationship Banker
BMO U.S.
Vaudreuil-Dorion, QC
- Full-time
Added 9 days ago
R
Staff Al Engineer, AI Governance Platform
RBC
Toronto, ON
- Full-time
Implement configuration UIs for governance policy, thresholds, and control registry management
Added 9 days ago
A
Full Stack AI-Native Engineer
Accenture
Mississauga, ON
- Full-time
You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
Added 9 days ago
F
Tech Lead- Forward Deployed Engineering
Fastloop
Vancouver, BC
- Full-time
…else. When you solve something twice, it goes into the shared registry, so every client after starts further ahead. That's the…
Added 11 days ago
Examinations Coordinator
Government of Alberta
Calgary, AB
Added 11 days ago
Mental Health Proctor 2
Winnipeg Regional Health Authority
Winnipeg, MB
…The Health Sector Bargaining Unit Review Act, the bargaining agent for this position may differ from the Union identified. In the event you have any questions, please contact your site…
Added 15 days ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
The AI Model Serving team is the engine behind every production Workday agent and machine learning use case. We own the services that power all production AI workloads, serving as the…
Added 15 days ago
Security Specialist
eSentire
Canada
…and parent/child relationships, services, scheduled tasks, registry, persistence mechanisms, credential access, lateral movement, and Windows event logs. Working knowledge of Linux and…
Added 15 days ago
TI
Workday Lead
Teranet Inc.
Toronto, ON
- $126,500 to $148,500 CAD / year
- Full-time
Teranet is Canada’s leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market insightful property…
Added 15 days ago
TI
Workday Lead
Teranet Inc.
Toronto, ON
- $126,500 to $148,500 CAD / year
- Full-time
Teranet is Canada’s leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market insightful property…
Added 15 days ago
PI
MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
Set up experiment tracking and a model registry.
Added 15 days ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Set up experiment tracking and a model registry.
Added 16 days ago
SH
Wellbeing Leader
Shared Health-Soins Communs
Winnipeg, MB
- Full-time
…organization, the incumbent will serve as a role model and change agent for the organizational culture and vision of workplace wellbeing by leading day-to-day activities that support the…
Added 16 days ago
Wellbeing Leader
Winnipeg Regional Health Authority
Winnipeg, MB
…organization, the incumbent will serve as a role model and change agent for the organizational culture and vision of workplace wellbeing by leading day-to-day activities that support the…
Added 16 days ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
Drive MaintainX's AI-native platform strategy - the AI Builder team's agent orchestration, tool registry, and developer environments sit in this division; your job is to ensure the org…
Added 16 days ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
What it means to govern an AI agent's identity: provisioning, scoping, revoking. Topic explainer.
Added 18 days ago
TR
JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
The CoCounsel Agent Context team is seeking a Staff Software Engineer to set the technical direction for Content Tools - the purpose-built APIs that give AI agents precise, governed access…
Added 18 days ago
M-
Spécialiste en intégration de systèmes, Laboratoire d'IA souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
…infrastructure they control. It combines model serving, retrieval, agent orchestration, and observability, with a control plane to operate them as one…
Added 19 days ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…at BMO: the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails Runtime, and AI…

Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

Job Summary

We are seeking a highly skilled incumbent with deep, hands-on experience designing, implementing, and optimizing enterprise-scale solutions on Google Cloud Platform (GCP), with proven delivery experience on Google Gemini Enterprise. This is a highly technical role requiring an individual who not only architects solutions but is also capable of personally building, deploying, troubleshooting, and optimizing cloud-native platforms, AI agents, and applications. The incumbent serves as the organization's trusted Google Cloud and Gemini Enterprise expert, driving cloud and AI strategy and delivering scalable, secure, governed, and cost-effective solutions that accelerate business outcomes.

Main Responsibilities

Architecture and Design

Lead the hands-on design and implementation of end-to-end cloud solutions on Google Cloud Platform (GCP).
Architect secure, scalable, resilient, and highly available enterprise cloud environments.
Develop reference architectures, technical standards, cloud adoption roadmaps, and solution blueprints.
Design hybrid and cloud-native architectures supporting business-critical applications and services.
Define integration patterns across applications, platforms, data ecosystems, and third-party solutions.
Translate business requirements into scalable and sustainable technical solutions.

Engineering, Platform and AI Delivery

Personally build, configure, test, deploy, and support production-grade solutions across the GCP ecosystem.
Develop and maintain Infrastructure as Code (IaC) using Terraform and cloud automation best practices.
Build and deploy containerized solutions using Google Kubernetes Engine (GKE), Cloud Run, and other cloud-native services.
Design and implement CI/CD pipelines supporting automated deployment and operational excellence.
Lead cloud migration, modernization, and transformation initiatives from on-premises and multi-cloud environments.
Troubleshoot and resolve complex technical issues across cloud infrastructure, applications, integrations, and platforms.

Gemini Enterprise, Agentic AI and Cloud Expertise

Act as the hands-on technical lead and architect for the enterprise Gemini Enterprise platform, including reference architecture, landing zone, configuration, operating standards, and governance.
Configure and administer the Gemini Enterprise app, including identity federation, access controls, agent gallery, licensing, and usage analytics.
Design and implement data connectors, data stores, and secure access patterns across enterprise systems such as SharePoint, OneDrive, Google Drive, ServiceNow, Jira, Salesforce, BigQuery, Databricks, and Data Lakehouse platforms.
Build, deploy, and operate custom AI agents using Agent Development Kit (ADK), Agent Studio, Agent Runtime, Python, APIs, and Model Context Protocol (MCP).
Define the enterprise AI reference architecture, including patterns for retrieval-augmented generation (RAG), single and multi-agent systems, tool use, human-in-the-loop, model evaluation, and model fine-tuning.
Implement agent governance and security using Agent Gateway, Agent Identity, Agent Registry, IAM policies, Model Armor, VPC Service Controls, Sensitive Data Protection, and responsible AI guardrails.
Prepare and present AI and cloud solution architectures to enterprise architecture, cybersecurity, and governance review boards.

Working Conditions

The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN's hybrid work model. The role requires occasional business travel within Canada and the United States in accordance with CN policy.

Experience

Cloud, AI and Solution Architecture

10+ years of overall technology experience, including enterprise architecture, solution architecture, system architecture, cloud engineering, or related technology roles
Minimum 5 years of experience in Solution Architecture and/or Systems Architecture roles
Minimum 7 years of hands-on experience designing and implementing cloud solutions
Expert-level, end-to-end hands-on experience with Google Cloud Platform in large enterprise environments
Demonstrated hands-on experience architecting and delivering at least one enterprise Gemini Enterprise implementation in production, including connectors, identity integration, access controls, and governance
Minimum 3 years of experience in an AI, machine learning, or Generative AI architecture role, with solutions delivered to production
Experience with Databricks on Google Cloud Platform, transportation, logistics, supply chain, or industrial organizations*
Candidates with an equivalent combination of education, training, and experience will be considered
Any requirement marked with (*) will be considered an asset (not mandatory)

Education/Certification/Designation

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Google Professional Cloud Architect Certification, Google Professional Cloud Security Engineer Certification, Google Professional Machine Learning Engineer Certification, Google Cloud Generative AI Leader Certification, Google Cloud Professional Agentic Architect Certification (Beta), TOGAF, ITIL, or SAFe Architect certification*
Candidates with equivalent practical experience, education, or training will be considered
Any requirement marked with (*) will be considered an asset (not mandatory)

Competencies

We Care About Each Other
We Strive for Excellence
We Succeed Together
We Lead Responsibly
Compliance
Business acumen
High-Impact Execution
Conveying the vision
Coordination

Technical Skills/Knowledge

Expert knowledge of Google Cloud Platform services including Compute Engine, GKE, Cloud Run, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL, AlloyDB, IAM, and Google Cloud Operations Suite
Hands-on experience with Gemini Enterprise, Gemini Enterprise Agent Platform, Agent Development Kit (ADK), Agent Studio, Agent Runtime, APIs, MCP, RAG, agent evaluation, and production AI agent operations
Deep understanding of LLM architecture patterns, including retrieval-augmented generation, agents and multi-agent orchestration, prompt engineering, embeddings, fine-tuning, vector databases, and responsible AI controls
Experience with cloud networking, identity and access management, encryption, key management, secrets management, security controls, compliance, and governance frameworks
Strong experience with Terraform, Infrastructure as Code, DevOps, CI/CD, Site Reliability Engineering, Kubernetes, containerization, and cloud-native application architectures
Experience designing modern data, analytics, streaming, batch, real-time, MLOps, LLMOps, AgentOps, and AI governance solutions using GCP-native technologies, Databricks, Kafka, and Data Lakehouse platforms
Knowledge of AI-specific risks including prompt injection, data leakage, hallucination, excessive agent autonomy, model drift, quality measurement, guardrails, and responsible AI practices
Excellent communication, stakeholder management, architecture review, technical leadership, mentoring, and strategic cloud planning skills

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More about this job

Responsibilities

Architect, build, deploy, and optimize secure, scalable enterprise solutions on Google Cloud Platform, including cloud-native platforms, infrastructure automation, and production AI applications. Lead Gemini Enterprise architecture and agent delivery, including integrations, governance, security, and presentation of solutions to enterprise review boards.

Requirements

Requires 10+ years of technology experience, including at least 5 years in solution or systems architecture and 7 years of hands-on cloud solution delivery, with expert-level Google Cloud Platform experience. Also requires production delivery experience with Gemini Enterprise and at least 3 years in AI, machine learning, or generative AI architecture; a bachelor's degree is listed, with equivalent practical experience also considered.

Skills

Google Cloud Platform
Gemini Enterprise
Cloud Architecture
Solution Architecture
AI Agent Development
Terraform
Kubernetes
Google Kubernetes Engine
Cloud Run
CI/CD
Python
Retrieval-Augmented Generation
Identity and Access Management
Cloud Security
Databricks
Model Context Protocol

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Gemini Enterprise
Google Kubernetes Engine
Cloud Run
Compute Engine
BigQuery
Terraform
Infrastructure as Code
Kubernetes
CI/CD
Python
Agent Development Kit
Agent Studio
Agent Runtime
Model Context Protocol
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
Databricks
Data Lakehouse
Kafka
MLOps
LLMOps
AgentOps
Identity and Access Management
VPC Service Controls
Model Armor
Google Professional Cloud Architect
Google Professional Cloud Security Engineer
TOGAF

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