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Added 27 mins ago
DevOps Engineer (Mid - Senior Level)
ERM
Ottawa, ON
Full-time
A current AWS certification is required - Solutions Architect – Associate or higher, or SysOps/DevOps. Professional-level certification strongly preferred.
Added 56 mins ago
Principal Azure Architect
emergiTEL
Toronto, ON · Greater Toronto Area, Canada
$160,000 to $170,000 CAD / year
Full-time
Design, develop, architect, and deploy cloud-native applications.
Added 1 hour ago
Dév. logiciel sénior / Senior Software Dev. - C# / REST APIs & API Modernization
Genetec
Montreal, QC
Full-time
Contribuer à l'automatisation DevOps via Azure DevOps (pipelines CI/CD, stratégies de déploiement)
Added 3 hours ago
Software Engineer - Team Lead (Forward Deployed)
Urban Ridge Supplies
Mississauga, ON
Full-time
…capability accelerated by AI - no dedicated frontend, backend, or DevOps…
Added 3 hours ago
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
Full-time
Architect and develop long-running, multi-stage AI-driven analytical workflows that can pause, resume, recover, and maintain state throughout execution.
Added 3 hours ago
AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
Full-time
…technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with…
Added 9 hours ago
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
Other
Is an adept of CI-CD and can implement Azure DevOps
Added 9 hours ago
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Digital Solutions
Montreal, QC
Other
Proficient in end-to-end software development with the ability to autonomously architect, code, test, and deploy scalable applications, ensuring alignment with system requirements and…
Added 10 hours ago
Senior AI/ML Applications Architect
GE Vernova
Markham, ON
Full-time
We are seeking a highly skilled Sr AI/ML Applications Architect to lead the design, development and deployment of advanced machine learning (ML) and generative AI solutions. The role…
Added 11 hours ago
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
Part-time
…Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative solutions that drive transformational business growth and deliver substantial value…
Added 12 hours ago
Cloud Network Architect
CGI
Halifax, NS
Full-time
We are looking for an experienced Cloud Network Architect with deep Microsoft Azure networking expertise to join our Solution Architecture team. This role will provide specialized expertise…
Added 14 hours ago
Enterprise Architect - Microsoft Cloud & AI Development
TricorBraun
Burlington, ON
Full-time
We are seeking an experienced and collaborative Enterprise Architect - Microsoft Cloud & AI Development to join our Technology team.
Added 17 hours ago
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
Full-time
…leadership role, you will establish engineering standards, architect scalable cloud data platforms, and enable analytics, AI, machine learning, and business intelligence solutions across…
Added 17 hours ago
Senior Power Platform
Optisigma Inc.
Canada
Full-time
Hold the PL-400 (Microsoft Power Platform Developer Associate) or PL-600 (Microsoft Power Platform Solution Architect Expert) certification
Added 18 hours ago
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
Full-time
…technologies, systems engineering, infrastructure automation, and DevOps tooling across Fitch Group. The role itself will be dedicated to ensuring excellence in Fitch Ratings services, with…
Added 18 hours ago
AI Solution Architect
Harris Global Business Services (GBS)
Quebec, QC
Full-time
Expérience avec Jira, Confluence, SharePoint, GitHub et les pipelines DevOps.
Added 18 hours ago
Solutions Architect (Front End Applications)
Randstad Digital
Toronto, ON
Full-time
Added 18 hours ago
Sr. Digital / Application Architect
Rang Technologies Inc
AB · Edmonton, AB
$110 to $116 CAD / hour
Contract
Client is looking for a senior architect who can design the technology direction for client’s applications and digital services, guide development/support teams, and ensure that solutions…
Added 19 hours ago
SR Azure Databricks Engineer
Cognizant
Toronto, ON
Full-time
This hybrid role for an experienced data engineer and data architect focuses on designing and optimizing enterprise data platforms using Databricks for a global organization in the life and…
Added 19 hours ago
AI Platform Engineering Lead
AGF Investments
Toronto, ON
Full-time
…technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with…
Added 19 hours ago
R_1508495 Software Engineer III (Salesforce Loyalty Management Technical Lead)
TD
Toronto, ON
Full-time
Support release management, environment strategy, DevOps automation, and continuous integration/continuous deployment (CI/CD) processes.
Added 19 hours ago
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
Full-time
Support release management, environment strategy, DevOps automation, and continuous integration/continuous deployment (CI/CD) processes.
Added 19 hours ago
Senior Database Platform Engineer
Terminal
Canada
Contract
…bringing your expertise in AWS RDS, PostgreSQL, and Python to architect a data roadmap that scales from startup speed to global enterprise scale for hundreds of hospitals worldwide. At VEG,…
Added 19 hours ago
Platform Solution Architect
Slalom
Montreal, QC
Full-time
Vous serez amené(e) à travailler concrètement dans le cloud (AWS, GCP, Azure) avec les dernières technologies DevOps.
Added 20 hours ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
…technologies, systems engineering, infrastructure automation, and DevOps tooling across Fitch Group. The role itself will be dedicated to ensuring excellence in Fitch Ratings services, with…

GE Vernova

Senior AI/ML Applications Architect

Markham, ON, Canada

Pay: For candidates applying to a Canadian-based position, the pay range for this position is between $126,000 and $189,000 CAD.
Job type: Full-time
Experience: Minimum of 7 years of hands-on experience within software engineering, AI/ML development and/or architectural roles.
Posting language: English
Posted: Sep 14, 2026

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Original job description

Job Description Summary

GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world?

We are seeking a highly skilled Sr AI/ML Applications Architect to lead the design, development and deployment of advanced machine learning (ML) and generative AI solutions. The role combines deep technical expertise in AI/ML architecture with leadership responsibilities, requiring someone who can drive innovation from concept to production while managing high-performing project teams. This role will also involve developing Proof of Concepts (PoCs) and ensuring the deployment of models on the edge or cloud-based systems.

The role reports directly to the Director of Data Analytics and AI Solutions in the Grid Automation CTO organization and will collaborate closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions to drive efficiency and innovation.

Job Description

Responsibilities:

Design and architect scalable AI/ML solutions, including generative AI applications, tailored to grid automation and digitalization technologies as well as business efficiency. Ensure optimal performance of these solutions across edge and cloud deployment environments.
Establish architectural standards, best practices and technical guidelines for AI/ML development across the CTO organization in collaboration with GEV AI/ML partners.
Build a strong technical foundation with architecture built on modular/microservices, cloud/edge, API 1st, privacy by design philosophies; infrastructure concepts of containerization, orchestration, auto-scale capabilities (compute, storage, network) and infra-as-code; development concepts of automation (CI/CD, data and MLOps pipelines), code assist and sandboxes for collaboration + experimentation.
Design and deploy on GE GridNode/edge platforms, using container and microservices principles and best practices. Develop and implement strategies for optimizing performance of models in production.
Collaborate with cross-functional teams to integrate AI/ML capabilities into existing platforms and develop new intelligent business efficiency and product line solutions.
Stay current with state-of-the-art developments in AI/ML, generative AI and energy systems technology through continuous monitoring of research and industry trends.
Evaluate and recommend emerging technologies and methodologies (AIML tools, platforms, vendor solutions) for their potential application to grid automation challenges and business opportunities; design, execute and demo proof-of-concepts (PoCs) to validate new AI/ML approaches and assess their feasibility for energy system applications.

Required Qualifications:

Minimum of a Bachelor's degree in Computer Science, Electrical Engineering, Data Science or related technical field.
Minimum of 7 years of hands-on experience within software engineering, AI/ML development and/or architectural roles.

Desired Characteristics:

Proven expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and generative AI technologies (LLMs, SLMs, diffusion models, GANs).
Proven experience in applying AI/ML frameworks/workflows, AI/MLOps and CI/CD using cloud-native and on-prem development and deployment in operational technology/industrial automation environments.
Experience developing and implementing ML models using cloud MLOps pipelines such as AWS Sagemaker, Azure ML, Google VertexAI, Dataiku Cloud or equivalent.
Hands-on professional experience in developing and testing AI/ML algorithms and demonstrated professional experience with grid/physics models in power system simulation tools, MATLAB/PSCAD; as well as power system analysis SW such as PSS/E, Digsilent or equivalent.
Experience with DevOps, data pipelines, Azure ML registry, deployment methods (Docker, K8s, etc.).
Proven experience designing solutions that include the full AI/ML project lifecycle: data acquisition (real-time/streaming, batch and response/request), data quality assurance + engineering, model selection and evaluation, tuning, testing, deployment, maintenance and evolution.
Strong background in edge computing, IoT deployments and cloud platforms (AWS, Azure, GCP).
Expertise of GraphDB, SQL/NoSQL, MS Access databases.
Proficiency in programming languages including Python, C# or C++ as well as scientific programming + simulation tools such as MATLAB or R.
Experience with time-series analysis, signal processing, load forecasting and predictive modeling relevant to energy systems and grid operations.
Proven track record of successfully delivering complex AI/ML projects from conception to deployment.
Track record of applying research insights to solve real-world business problems and deliver commercial solutions; ability to balance innovation with practical implementation constraints and business requirements.
Understanding of industrial IoT, edge computing requirements and real-time data processing in critical infrastructure environments.

For candidates applying to a Canadian-based position, the pay range for this position is between $126,000 and $189,000 CAD. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

Bonus eligibility: discretionary annual bonus.

This posting is for an new vacancy.

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More about this job

Responsibilities

The Senior AI/ML Applications Architect will lead the design, development, and deployment of scalable machine learning and generative AI solutions for grid automation. They will collaborate with cross-functional teams to integrate these technologies into existing platforms while establishing architectural standards and best practices.

Requirements

Candidates must hold a minimum of a Bachelor's degree in a technical field and possess at least 7 years of hands-on experience in software engineering or AI/ML development. Proficiency in machine learning frameworks, cloud-native deployment, and industrial automation environments is required.

Skills

Machine learning
Generative AI
Software architecture
Cloud computing
Edge computing
Python
C#
C++
TensorFlow
PyTorch
MLOps
CI/CD
Microservices
Data analytics
Grid automation
Predictive modeling

Benefits

Discretionary annual bonus

Visa sponsorship

Not detected in the job text

Keywords

AI/ML
Generative AI
Grid Automation
Cloud-native
Edge Computing
Microservices
MLOps
CI/CD
Python
C#
C++
TensorFlow
PyTorch
AWS
Azure
Google VertexAI
Docker
Kubernetes
GraphDB
MATLAB
PSCAD
Industrial IoT
Predictive Modeling
Data Pipelines
Infrastructure-as-code
Containerization
Energy Systems
Digitalization
Software Engineering
Algorithm Development

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