Sr Software Engineer – AI Backend & Agent Frameworks

GE Vernova • Bellevue, WA

2d • $102,700 - $171,000 • Hybrid

About The Position

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. Job Description In this role, you will:

Requirements

• 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 (TensorFlow, 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.
• Strong understanding of software architecture, concurrency, system performance, and security principles.
• Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.

Nice To Haves

• Working knowledge of EMS, DMS, WAMS, SCADA, or power system operations is highly desirable.

Responsibilities

• 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 DevOps teams to deploy AI-driven backend solutions into operational environments.
• Participate actively in Agile development processes including sprint planning, design reviews, and technical leadership.

Benefits

• GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.
• Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
• Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants.
• Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level