Senior Gen AI Applications Architect

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $126k - $189k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GE Vernova

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.

📋 Description

• Design and architect scalable AI/ML solutions, including generative AI and agentic AI applications, for grid automation, digitalization, product-line use cases, and business efficiency • Establish architectural standards, best practices, and technical guidelines for AI/ML development across the CTO organization • Build technical foundations using modular and microservices architectures, cloud and edge patterns, API-first and privacy-by-design principles, containerization, orchestration, autoscaling, infrastructure as code, CI/CD, data and MLOps pipelines, and collaborative experimentation environments • Design and deploy solutions on GE GridNode and other edge platforms using container and microservices principles • Develop strategies to optimize model performance in production • Advise project and product teams on architecture and solution approaches for generative AI and agentic AI use cases • Define and implement monitoring, observability, and guardrails for generative AI and agentic AI solutions • Guide teams in building production-quality systems and reusable frameworks that are scalable, reliable, and maintainable • Collaborate with cross-functional teams to integrate AI/ML capabilities into existing platforms and develop new intelligent product and business-efficiency solutions • Monitor advances in AI/ML, generative AI, agentic AI, and energy-system technologies and translate developments into practical recommendations • Evaluate AI/ML tools, platforms, methodologies, and vendor solutions for grid-automation challenges and business opportunities • Design and execute proofs of concept to validate feasibility and inform production decisions • Report to the Director of Data Analytics and AI Solutions in the Grid Automation CTO organization

🎯 Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field • Minimum of 7 years of hands-on experience in software engineering, AI/ML development, and/or solution architecture • Demonstrated 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 or comparable cloud infrastructure such as Microsoft Azure or Google Cloud Platform • Proven expertise with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn • Experience with generative AI technologies including large and small language models, diffusion models, and GANs • Experience with agentic AI frameworks and architectures, including multi-agent orchestration, tool and function calling, retrieval-augmented generation, agent memory, and planning • Experience implementing monitoring, observability, and guardrails for generative AI and agentic AI systems • Experience applying AI/ML frameworks, AI/MLOps, and CI/CD across cloud-native and on-premises development and deployment in operational technology or industrial automation environments • Experience developing and deploying ML models using cloud MLOps services such as Amazon SageMaker, Azure Machine Learning, Google Vertex AI, Dataiku Cloud, or equivalent • Hands-on experience developing and testing AI/ML algorithms and experience with grid or physics models using MATLAB, PSCAD, PSS/E, DIgSILENT PowerFactory, or equivalent tools • Experience with DevOps, data pipelines, model registries, Docker, and Kubernetes • Experience designing solutions across the complete AI/ML lifecycle • Strong background in edge computing, industrial IoT, real-time processing, and AWS, Microsoft Azure, or Google Cloud Platform • Experience with graph databases, SQL and NoSQL databases, and Microsoft Access • Proficiency in Python and at least one additional language such as C# or C++ • Experience in scientific programming or simulation tools such as MATLAB or R • Experience with time-series analysis, signal processing, load forecasting, or predictive modeling relevant to energy systems and grid operations • Proven record of delivering complex AI/ML projects from conception through production deployment • Ability to apply research insights to real-world business problems and commercial solutions • Understanding of industrial IoT, edge-computing requirements, and real-time data processing in critical-infrastructure environments

🏖️ Benefits

• Discretionary annual bonus • Relocation Assistance Provided: No