Sr Software Engineer – AI Backend & Agent Frameworks

Job Description Summary

GE Vernova is seeking a Sr. Software Engineer to join our Applied Grid Innovation team within Grid Software. In this hybrid role, you will focus on building scalable backend platforms and AI agent frameworks that power next-generation grid applications across AEMS, ADMS, and WAMS. You will design and develop distributed systems, microservices, and AI-driven orchestration layers that enable intelligent automation, decision support, and control room innovation.

This role is ideal for a backend-focused engineer who enjoys architecting robust systems and building production-grade AI infrastructure for mission-critical environments.

In this role, you will:

• Design, implement, and maintain scalable backend services and distributed systems using Python, Java, C++, or Go.
• Architect and develop AI agent frameworks that orchestrate ML models, rule engines, simulation engines, and enterprise grid services.
• Build microservices-based platforms that integrate SCADA, PMU, time-series databases, and operational data systems into AI-enabled applications.
• Develop APIs, event-driven services, and data pipelines to support real-time and near-real-time grid analytics.
• Implement orchestration layers for AI workflows, including model lifecycle management, inference services, agent coordination, and feedback loops.
• Translate power system analytics and optimization models into production-grade backend services.
• Design secure, high-performance systems suitable for on-premises and critical control center environments.
• Contribute to system architecture decisions, emphasizing scalability, reliability, fault tolerance, and cybersecurity.
• Lead code quality initiatives including automated testing, CI/CD pipelines, performance tuning, and observability.
• Collaborate closely with data scientists, power systems engineers, and Dev Ops teams to deploy AI-driven backend solutions into operational environments.
• Participate actively in Agile development processes including sprint planning, design reviews, and technical leadership.

• Master’s or PhD in Computer Science, Software Engineering, or related field.
• 5+ years of professional experience in backend or distributed systems development.
• Strong experience designing microservices, REST/gRPC APIs, and event-driven architectures.
• Experience building AI/ML production systems, including model serving, inference pipelines, or agent-based orchestration frameworks.
• Proficiency in Python and backend language (Java, C++, Go).
• Experience with AI/ML frameworks (Tensor Flow, PyTorch, Scikit-learn) and model deployment patterns.
• Familiarity with time-series data systems and high-throughput data processing.
• Experience developing software for on-premises, mission-critical, or control system environments.
• Working knowledge of EMS, DMS, WAMS, SCADA, or power system operations is highly desirable.
• Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
• Strong understanding of software architecture, concurrency, system performance, and security principles.

GE 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.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

For candidates applying to a U.S. based position, the pay range for this position is between $ and $. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was…