Staff AI Engineer
GE VernovaResponsibilities
- Design, develop, and implement generative AI, machine learning, deep learning, neural-network, and optimization solutions.
- Own dataset construction, metrics, acceptance criteria, evaluation strategies, model deployment, and monitoring for drift, performance degradation, and cost.
- Translate business and operational needs into scalable AI-enabled tools, applications, workflows, and production-ready solutions.
- Define end-to-end solution architectures from data sources through enterprise and technical IT integrations.
- Design cloud-ready and on-premises solutions aligned with IT, cybersecurity, data-governance, reliability, usability, and maintainability standards.
- Write technical specifications, statements of work, and acceptance criteria for contractors, vendors, and internal teams.
- Evaluate suppliers, platforms, and tools through technical reviews, benchmarking, and proof-of-concept comparisons.
- Review partner designs, code, models, quality gates, and acceptance testing while retaining technical ownership.
- Lead or support large-scale data collection, processing, structuring, analysis, and data-readiness assessments.
- Develop predictive maintenance, anomaly detection, quality and performance prediction, forecasting, cost-analysis, document-analysis, and knowledge-support solutions.
- Collaborate with technical, operational, business, and IT stakeholders, support end-user adoption, and communicate technical concepts clearly.
- Evaluate emerging technologies including edge AI, synthetic data, reinforcement learning, and large language models for industrial applications.
Requirements
- Master’s degree in engineering, computer science, data science, applied mathematics, or a related field.
- At least 8 years of overall experience.
- Several years, specified as 2 to 4, of professional experience in artificial intelligence, machine learning, data science, software engineering, or a comparable technical role.
- Strong programming skills in Python, C++, or similar languages and proficiency with development environments such as VS Code.
- Hands-on experience with TensorFlow and/or PyTorch, classical machine-learning tooling such as scikit-learn, and gradient-boosting methods.
- Experience with time-series analysis, optimization methods, data-driven model development, generative AI, RAG, vector databases, and A2A.
- Experience handling structured, tabular, and unstructured data including technical documents, specifications, and reports.
- Solid grounding in Azure and AWS cloud services and architecture.
- Working knowledge of SQL, data pipelines, structured and unstructured data handling, and data-engineering fundamentals.
- Experience with MLOps, model deployment, and production integration is advantageous.
- Experience developing and deploying AI/ML solutions in industrial, technical, or complex operational environments is preferred.
- Knowledge of industrial processes, electrification, power systems, AI regulatory and governance contexts such as the EU AI Act and GDPR, innovation management, or patent-related work is advantageous.
- Strong analytical, strategic, documentation, communication, collaboration, and stakeholder-management skills.
Benefits
- Relocation assistance is provided.
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.