Note: The job is a remote job and is open to candidates in USA. GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy. We are seeking a visionary AI Project Engineer to enhance quality processes using AI, driving automation and predictive insights while collaborating with cross-functional teams to implement innovative solutions.
Responsibilities
- 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
Skills
- 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
- 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 driving projects from concept to production in a fast-paced, cross-functional enterprise environment
- Structured problem-solving with visionary thinking — ability to break down complex challenges into actionable plans while simultaneously driving a forward-looking AI adoption roadmap
- Strong collaborative mindset — able to define requirements clearly and work effectively with a distributed Digital execution team
- Proactive, intellectually curious, and comfortable operating in a dynamic, evolving environment
- Strong storytelling ability — capable of turning complex analytical findings into compelling narratives for business stakeholders
- Background in the energy, automotive, or large-scale manufacturing industries
- Startup or fast-paced scale-up experience — comfortable with ambiguity, rapid iteration, and delivering high-impact results with lean resources
- Familiarity with enterprise platforms such as SAP, Salesforce, or similar ERP/CRM systems from an AI and data integration perspective
- Experience with AWS cloud services from an AI/ML perspective (e.g., SageMaker, S3, Lambda, Bedrock)
- Understanding of Semantic Data Models and data modelling concepts across heterogeneous systems
- Exposure to MLOps principles — model versioning, experiment tracking, deployment basics
- Familiarity with version control systems (e.g., Git) and collaborative development practices
- Experience in international, multicultural team environments and working across time zones
Benefits
- Relocation Assistance Provided: Yes
- This is a remote position
- Bonus eligibility: discretionary annual bonus.
- Medical, dental, vision, and prescription drug coverage
- Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- Access to Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
Company Overview
GE Vernova provides energy consulting, gas power, and grid solutions. It was founded in 2024, and is headquartered in Boston, Massachusetts, USA, with a workforce of 10001+ employees. Its website is https://www.gevernova.com.