Senior Gen AI Applications Architect
GE VernovaResponsibilities
- Architect and deploy scalable generative AI, agentic AI, and machine learning solutions across cloud and edge environments for grid automation and business-efficiency use cases.
- Establish AI/ML architecture standards, best practices, technical guidelines, reusable frameworks, and production-quality engineering patterns.
- Develop proofs of concept and guide solutions from data acquisition and model evaluation through deployment, monitoring, maintenance, and evolution.
- Advise product, engineering, project, and R&D teams on model selection, orchestration, integration strategies, monitoring, observability, safety, security, bias, hallucination mitigation, cost, and performance.
- Design and deploy solutions on GE GridNode and other edge platforms using containers, microservices, orchestration, autoscaling, infrastructure as code, CI/CD, and MLOps practices.
- Evaluate AI/ML tools, platforms, methodologies, and vendor solutions and translate advances in AI/ML and energy-system technologies into practical recommendations.
- Collaborate with cross-functional teams to integrate AI/ML capabilities into existing platforms and develop intelligent products for industrial and grid environments.
Requirements
- 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 solution architecture.
- Hands-on experience building and architecting generative AI and agentic AI solutions and applications.
- Experience architecting and implementing generative AI and agentic AI solutions on AWS, Microsoft Azure, Google Cloud Platform, or comparable infrastructure.
- Expertise with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn and generative AI technologies including language models, diffusion models, and GANs.
- Experience with agentic AI architectures, multi-agent orchestration, tool and function calling, retrieval-augmented generation, agent memory, and planning.
- Experience with AI/MLOps, CI/CD, cloud-native and on-premises deployment, monitoring, observability, guardrails, data pipelines, model registries, Docker, and Kubernetes.
- Experience deploying models with Amazon SageMaker, Azure Machine Learning, Google Vertex AI, Dataiku Cloud, or equivalent MLOps services.
- Experience with grid or physics models and tools such as MATLAB, PSCAD, PSS/E, or DIgSILENT PowerFactory, plus scientific programming or simulation experience with MATLAB or R.
- Proficiency in Python and at least one additional language such as C# or C++.
- Experience with edge computing, industrial IoT, real-time processing, cloud platforms, graph databases, SQL and NoSQL databases, and Microsoft Access.
- Experience with time-series analysis, signal processing, load forecasting, predictive modeling, and delivering complex AI/ML projects through production deployment.
- Understanding of industrial IoT, edge-computing requirements, real-time data processing, and security and maintainability considerations in critical-infrastructure environments.
Benefits
- Remote position.
- Canadian-based pay range of CAD $126,000.00-$189,000.00 annually, with discretionary annual bonus eligibility.
- No relocation assistance provided.
Tech Stack
Categories
About GE Vernova
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world. It is made up of three businesses -- Power, Electrification, and Wind -- with focus on 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. The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come. GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” 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. Together, we have the energy to change the world.