AI Engineer

GE VernovaBellevue, WA
Onsite

About The Position

GE Vernova is seeking an AI Engineer to support the development and deployment of AI-driven systems that enable intelligent automation across AEMS, ADMS, and DERMS applications. This is a hands-on role ideal for early-career engineers looking to build experience in AI systems, backend development, and real-time grid applications. You will work alongside other Engineers to design, develop, and maintain AI-powered services and components that integrate with grid data platforms and operational systems.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
  • 0–3 years of software development or AI/ML experience (internships/projects included).
  • Proficiency in Python; exposure to Java, C++, or Go is a plus.
  • Basic understanding of machine learning concepts and LLM applications.
  • Familiarity with APIs, backend development, and microservices concepts.
  • Exposure to cloud, containers (Docker), or orchestration (Kubernetes) is a plus.
  • Understanding of data structures, algorithms, and software engineering fundamentals.
  • Interest in distributed systems and real-time data processing.
  • Familiarity with power systems (EMS, DMS, SCADA) is a plus but not required.

Nice To Haves

  • Exposure to cloud, containers (Docker), or orchestration (Kubernetes) is a plus.
  • Familiarity with power systems (EMS, DMS, SCADA) is a plus but not required.

Responsibilities

  • Assist in developing components of AI agent frameworks, including orchestration workflows, tool integrations, and basic state management.
  • Build and maintain backend services in Python (or Java/Go/C++) to support AI inference and data processing.
  • Support development of LLM-based applications, including prompt design, tool usage, and evaluation workflows.
  • Contribute to model integration and deployment, including working with APIs and inference endpoints.
  • Help develop microservices and data pipelines for processing time-series and streaming data.
  • Assist in integrating AI services with grid systems such as SCADA and simulation tools.
  • Participate in performance tuning and debugging of distributed systems under guidance.
  • Contribute to CI/CD pipelines, testing, and monitoring for AI services.
  • Implement logging and basic explainability features for AI outputs.
  • Collaborate in code reviews and contribute to shared codebases following engineering best practices.

Benefits

  • 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
  • Relocation Assistance Provided
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