Leading the analysis of current AI adoption and integration maturity across business lines and defining a structured homologation approach for scalable AI deployment in quality processes.
Identifying and delivering quick wins in the field of preventive quality - translating business challenges into concrete AI/ML solutions with measurable impact.
Designing, developing, and deploying production-grade AI and ML applications that automate quality workflows, enable predictive quality insights, and reduce quality-related incidents.
Leveraging advanced prompt engineering techniques (Zero-shot, Few-shot, Chain-of-Thought) and Large Language Models (LLMs) to build intelligent quality tools that augment human decision-making and automate quality workflows.
Driving the development and execution of the aligned Quality Suite 5.0 AI adoption roadmap, informed by real business line requirements and delivering a minimum of three new AI applications in production within the first year.
Acting as the strategic and technical bridge between the Quality Engineering domain and the Digital execution team - defining data requirements, solution architecture, and AI use case prioritization.
Collaborating closely with Data Engineers, Data Scientists, and AI/ML engineers to ensure AI solutions are robust, secure, scalable, and production ready.
Leading in a project environment - influencing without formal authority, aligning cross-functional teams, and delivering results with pace and precision.
Engaging with internal business line stakeholders across GE Vernova's global organization to understand their quality data needs, gather requirements, and iterate solutions based on real-world feedback.
Contributing to the evolution of the Digital Quality Suite, bringing innovative ideas and a forward-thinking mindset to continuously improve our quality tooling landscape.
Documenting solution designs, model performance, and data definitions clearly to ensure transparency and reproducibility across the team.
Staying current with the latest advancements in AI, ML, and responsible AI practices, proactively proposing new approaches that enhance our quality solutions.
Required:
Bachelor's degree in data science, computer science, statistics, mathematics, engineering, or a related technical field or equivalent experience
Some relevant experience in AI/ML engineering, data science, or a related technical discipline.
Desired:
Master's degree in data science, computer science, statistics, mathematics, engineering, or a related technical field.
Advanced AI/ML engineering proficiency - hands-on expertise in development with Python, FastAPI, and prompt engineering techniques (Zero-shot, Few-shot, Chain-of-Thought prompting).
Deep understanding of AI quality and robustness - responsible AI principles, model validation, security, bias mitigation, and production-grade AI reliability.
Basic knowledge of quality management processes and methodologies (e.g., APQP, 8D, FMEA, or similar quality KPI frameworks).
Proven self-driven delivery mindset - track record of independently driv
Additional Information
Job Description Summary
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. Are you excited at the opportunity to electrify and decarbonize the world?
We are seeking a visionary, results-driven and technically exceptional AI Project Engineer to join our HQ Quality Engineering & AI/ML Implementation team - a team where collaboration and participative leadership are not just words, but the way we work every day.
This is your opportunity to create real impact from day one. As a core member of our quality engineering team, you will be at the forefront of our Quality 5.0 vision - where data intelligence and AI-powered tools redefine how we manage, predict and prevent quality issues across GE Vernova's global business. This newly created role exists to help our organization use AI to make quality processes more proactive, data-driven, and scalable. Instead of relying on manual inspection or reactive problem-solving, the AI Project Engineer enables smarter quality management through automation, prediction, and real-time insights.
You will act as the critical bridge between our Quality Engineering domain and our Digital execution team - pushing for innovation and bringing the Quality 5.0 vision to life. Working together with our Data Scientist, you will be a core enabler of broad AI adoption across HQ quality processes, engineering tools, and our evolving Digital Quality Suite - stepping directly into a live, strategic initiative: our Quality Roadmap with AI integration.
Reporting directly to the Head of Quality Engineering & AI/ML Implementation, you will be part of a passionate, international team that is rewriting the rules of quality in the energy transition era.
Job Description
Ge Vernova · Boston, MA