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.
Skills Required
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field
- At least 7 years of hands-on experience in software engineering, AI/ML development, and/or architecture
- Expertise with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with generative AI technologies, including LLMs, SLMs, diffusion models, or GANs
- Experience applying AI/ML workflows, MLOps, and CI/CD in cloud-native or on-premises industrial automation environments
- Experience with cloud MLOps platforms such as AWS SageMaker, Azure ML, Google Vertex AI, or Dataiku Cloud
- Professional experience developing and testing AI/ML algorithms and using grid or physics models and power-system simulation tools
- Experience with MATLAB, PSCAD, PSS/E, DIgSILENT, or equivalent power-system analysis software
- Experience with DevOps, data pipelines, Azure ML Registry, Docker, and Kubernetes
- Experience delivering the full AI/ML lifecycle, including data acquisition, quality assurance, engineering, modeling, evaluation, deployment, and maintenance
- Strong background in edge computing, IoT deployments, and AWS, Azure, or GCP cloud platforms
- Expertise with GraphDB, SQL, NoSQL, and Microsoft Access databases
- Programming proficiency in Python, C#, or C++, plus scientific programming or simulation tools such as MATLAB or R
- Experience with time-series analysis, signal processing, load forecasting, and predictive modeling for energy systems
- Track record delivering complex AI/ML projects from conception through production deployment
- Experience applying research insights to commercial solutions and balancing innovation with business requirements
- Understanding of industrial IoT, edge computing, and real-time data processing in critical infrastructure environments
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
-
Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
-
Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
-
Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, 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. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
Gallery
.png)
