Staff Software Engineer - AI Backend & Agent Frameworks

Staff Software EngineerThe power grid is changing — and the software behind it needs to change faster. As a Staff Software Engineer on GE Vernova's Applied Grid Innovation team, you'll build the backend platforms and artificial intelligence (AI) agent frameworks that make next-generation grid management possible. Your work will directly shape how grid operators make decisions, automate complex workflows, and maintain reliable energy delivery at scale. This is a senior individual contributor role for an engineer who thrives on system architecture challenges and wants their code running in production environments where reliability isn't optional.What You'll DoDesign and build distributed backend systems using Python, Java, C++, or Go — creating scalable microservices, APIs, and event-driven architectures that integrate with operational grid systems including Supervisory Control and Data Acquisition (SCADA), Phasor Measurement Unit (PMU) data streams, and time-series databases.Architect AI agent frameworks that orchestrate machine learning (ML) models, rule engines, simulation engines, and enterprise grid services — enabling intelligent automation and decision support in control room environments.Develop AI/ML production infrastructure, including model lifecycle management, inference services, agent coordination layers, and real-time feedback loops for Advanced Energy Management Systems (AEMS), Advanced Distribution Management Systems (ADMS), and Wide Area Monitoring Systems (WAMS).Lead code quality and engineering excellence, including automated testing, Continuous Integration/Continuous Deployment (CI/CD) pipeline development, performance tuning, and system observability.Collaborate across disciplines — working alongside data scientists, power systems engineers, and DevOps teams to bring AI-driven solutions from prototype to production in mission-critical environments.Contribute to architecture decisions with a focus on scalability, fault tolerance, cybersecurity, and suitability for on-premises control center deployments.Who We're Looking For You're an experienced backend engineer who combines deep systems architecture expertise with hands-on experience delivering AI/ML infrastructure in production — and you're ready to apply that expertise to one of the world's most critical infrastructure domains.5+ years of professional experience in backend or distributed systems developmentProficiency in Python and at least one additional backend language (Java, C++, or Go)Proven experience designing microservices, REST/gRPC APIs, and event-driven architecturesHands-on experience building AI/ML production systems — including model serving, inference pipelines, or agent-based orchestration frameworksExperience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learnExperience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelinesStrong understanding of software architecture, concurrency, system performance, and security principlesExperience developing software for on-premises, mission-critical, or operational technology (OT) control environmentsWorking knowledge of Energy Management Systems (EMS), Distribution Management Systems (DMS), WAMS, SCADA, or power system operationsFamiliarity with time-series data systems and high-throughput data processing pipelinesGE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.