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Added 9 mins ago
Full Stack Developer - .NET (Intermediate)
Avant Imaging & Information Management, Inc.
Toronto, ON · Scarborough, ON
Full-time
Reporting to the VP, Solutions & Delivery, we are looking for a talented and motivated Full Stack Developer – .NET to join our development team. The ideal candidate will have strong…
Added 9 mins ago
Python Developer
Iris Software Inc.
Toronto, ON
Contract
Iris's Fortune 100 direct client is looking for a Python Full Stack Developer in Toronto, ON. Please find the job description below:
Added 9 mins ago
Kafka Platform Engineer/Admin
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Collaborate with application, data engineering, infrastructure, and DevOps teams to onboard and support Kafka applications.
Added 9 mins ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 9 mins ago
Test Engineer
LanceSoft, Inc.
Montreal, QC
$45 to $50 CAD / hour
Contract
Contribute to DevOps automation and improvements.
Added 9 mins ago
Senior Backend Developer (Java + Databricks)
Blutic
Montreal, QC
Full-time
Blutic is looking for experienced Senior Backend Developer (Java + Databricks) with 7 to 15 years of experience to join our high-performing engineering team. The ideal candidate will have…
Added 9 mins ago
Senior DevOps Engineer – HPC / EDA / SLURM- #26-24242
US Tech Solutions
Vancouver, BC
$55 to $60 USD / hour
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Client is seeking a Senior DevOps Engineer supporting our High Performance Computing (HPC) and Electronic Design Automation (EDA) infrastructure team. This role will work directly within…
Added 10 mins ago
Senior Applications Analyst - IT
Wolf Midstream
Calgary, AB
…365 Finance and Operations (D365 F&O), and will support Azure DevOps, Power BI, Power Platform, Microsoft 365, Azure, and related…
Added 38 mins ago
Digital Transformation Manager
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
Full-time
QA, DevOps, vendors, and business stakeholders to ensure solutions are delivered with the expected
Added 38 mins ago
Platform Engineer
SPECTRAFORCE
Toronto, ON
$100 to $110 CAD / hour
Contract
…environment. This role will focus on platform engineering, DevOps transformation, software delivery modernization, and AI-enabled…
Added 39 mins ago
RQ11661 - Software Developer - CRM - Senior
Maarut
Toronto, ON
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knowledge of DevOps, task boards, pipelines, etc.
Added 39 mins ago
RQ11660 - Software Developer - CRM - Senior
Maarut
Toronto, ON
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knowledge of DevOps, task boards, pipelines, etc.
Added 1 hour ago
Senior Software Engineer – DevTest / QA Automation
EngRadar
Toronto, ON
Full-time
Collaborate closely with software engineers, architects, product managers, DevOps, operations, and other QA/DevTest engineers to identify quality risks and improve engineering practices.
Added 1 hour ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
Familiarity with CI/CD tools and DevOps practices.
Added 1 hour ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
MLOps & DevOps: Vertex AI Pipelines, MLflow, CI/CD for AI Applications, Model Governance & Monitoring, Infrastructure as Code (Terraform)
Added 1 hour ago
Dynamics Developer
ThoughtStorm
Toronto, ON
$90 to $100 CAD / hour
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Experience with custom. Web API development, ASP.NET. .Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.
Added 1 hour ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
Implement source control, automated deployment, and CI/CD practices using Git, Azure DevOps, and Microsoft Fabric deployment capabilities, and participate in code reviews, testing, release…
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Senior Data Platform Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
Implement and support Git-based source control and CI/CD practices using Azure DevOps, deployment pipelines, database projects, DACPACs, PowerShell, and related deployment technologies.
Added 1 hour ago
Senior Software Engineer (Full Stack)
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Vancouver, BC · Canada, BC, Vancouver
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Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
Added 1 hour ago
Java Developer
Citi
Mississauga, ON
Full-time
Citi is looking for a Java Developer to join its Technology team and contribute to the design, development, and delivery of application systems that power financial services at global…
Added 1 hour ago
Java Developer
Citi
Mississauga, ON
Full-time
Citi is looking for a Java Developer to join its technology organisation and play a hands-on role in building, enhancing, and integrating the applications that power financial services at…
Added 1 hour ago
Software Application Developer – Loan Servicing & AI Enablement
BMO
Toronto, ON · FCP
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BMO's B2B Banking & Credit Technology team is seeking a Software Application Developer to join the Loan Servicing Technology team supporting Loan IQ and related lending platforms. The role…
Added 1 hour ago
Java Full Stack Lead
Accenture
Mississauga, ON
Full-time
A Full Stack Engineer with strong expertise in Java, Spring Boot, Angular, AWS Cloud, and DevOps practices, along with experience delivering and supporting enterprise applications across…
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SDET- Software Engineer in Test
Quantum World Technologies Inc.
Toronto, ON
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Experience with Jenkins, Azure DevOps, and/or GitLab
Added 1 hour ago
Chargé de projet TI
FOP Consultants
Quebec, QC
Full-time
Posséder cinq (5) années d’expérience dans la planification et l’utilisation des outils suivants : Microsoft Project, Azure DevOps et Power BI ou outils similaires

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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