GE Vernova

Senior AI/ML Applications Architect

GE Vernova • $126K — $189K *
Markham, ON L3R 0G6In-Person
Enterprise Technology
8 - 10 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • PhD or Master's in Computer Science, Electrical Engineering, Data Science or related field with 5+ years experience.
  • 10+ years of hands-on experience in AI/ML development, including 8+ years in architectural roles.
  • Proven expertise in machine learning frameworks and generative AI technologies.
  • Experience with cloud-native MLOps pipelines and deployment in operational technology environments.
  • 5+ years of management experience leading technical teams.

Responsibilities

  • Design scalable AI/ML solutions with a focus on grid automation and business efficiency.
  • Establish and enforce architectural standards and best practices within the CTO organization.
  • Develop modular, cloud/edge-ready architecture incorporating containerization and orchestration.
  • Ensure AI/ML solutions meet scalability, performance, and reliability requirements.
  • Drive technical decision-making for deployment strategies across edge and cloud environments.

Benefits

  • Opportunity to lead innovative projects in a fast-evolving field of energy solutions.
  • Work with cutting-edge AI/ML technologies and apply them to real-world applications.
  • Collaborate with cross-functional teams across product management and R&D.
  • Mentorship from senior technical leaders and opportunities for professional growth.
Full Job Description
Job Description Summary
We are seeking an experienced and highly skilled 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.

This position 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.

Additional Information

Relocation Assistance Provided: No

About GE Vernova

GE Vernova is an energy business company. They provide digital, energy consulting, energy financial services, gas power, grid solutions, nuclear energy, power conversion, renewable energy, steam power, and so on.

GE Vernova Careers

There has never been a more opportune time to join GE Vernova, a leader in innovative energy solutions. As a pivotal player in the energy sector, GE Vernova offers a plethora of job opportunities that cater to a diverse range of skills and professional aspirations.

Work You’ll Do

Embark on a career at GE Vernova and contribute to the transformation of the energy landscape. GE Vernova’s team is at the forefront of innovation, driving growth and sustainability with cutting-edge technology. Lead in a unique role where industry expertise meets leadership in energy innovation. GE Vernova provides a platform where professionals can leverage their skills to influence global energy solutions. Engage with a team of experts dedicated to pioneering developments in the energy sector. GE Vernova is home to a dynamic team focused on creating impactful solutions that address global energy challenges.

Introducing the GE Vernova Professional Growth Path

GE Vernova is committed to fostering professional growth through comprehensive career development opportunities. The company supports its team members' career trajectories with robust training programs, including leadership development and diversity training.

Innovate and Lead

Join GE Vernova to work on transformative projects at the intersection of energy, technology, and sustainability. The company’s commitment to innovation is reflected in its continuous pursuit of next-generation energy solutions.

Cultivate Your Career

At GE Vernova, career advancement is a priority. The company offers a range of positions that encourage professional growth and skill enhancement. GE Vernova’s supportive culture and commitment to professional development make it an ideal place to advance your career.

Explore Job Opportunities and Internships

GE Vernova is actively hiring and offers various positions and internships that cater to a wide range of professional interests and expertise. From engineering to project management, GE Vernova provides a fertile ground for professionals and interns to thrive.

The GE Vernova Commitment to Diversity and Innovation

GE Vernova is dedicated to creating a diverse and inclusive workplace. The company values diversity as a source of innovation and competitive advantage. By fostering an inclusive culture, GE Vernova attracts top talent from diverse backgrounds, enhancing creativity and driving innovation.

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Learn more about GE Vernova
Size
10,001 employees
Industry
Business Services
* Ladders Estimates

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