Job Description Summary

We are seeking a highly accomplished Principal AI Software Engineer who has mastered AI-augmented development and can drive technical excellence across our organization. This senior leadership role requires someone who combines exceptional technical depth with strategic thinking, leading the development of complex AI-native applications while setting technical direction and mentoring engineering teams. You'll be responsible for architecting enterprise-scale systems, driving cross-team technical initiatives, and establishing the standards that define how our organization builds AI-powered software.

The ideal candidate will have 10+ years of professional software development experience with proven expertise in designing and shipping large-scale production applications that incorporate LLMs and AI services. This is a Principal-level position requiring strong technical leadership, systems thinking, and the ability to influence technical decisions across multiple teams and product areas.

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Job Description

Key job responsibilities

As a Principal AI Software Engineer, you will drive technical strategy and excellence across multiple initiatives while leading complex AI system development.

Strategic Technical Leadership:

• Define and drive technical vision and architecture for AI-native applications across multiple product areas
• Act as an enabler for successful execution of identified projects
• Lead cross-functional technical initiatives, collaborating with engineering leadership, product management, and data science teams
• Establish technical standards, design patterns, and best practices for AI-augmented development across the organization
• Drive technical decision-making for complex systems that span multiple teams and products
• Make decisions with confidence when problems or solutions are not well defined
• Manage risk and uncertainty for self and team within a dynamic priority-setting environment
• Contribute as a thought leader within the team, and help to refine current state as well as future state plans and product roadmaps

Advanced AI Systems Architecture:

• Design and architect enterprise-scale full stack applications with sophisticated AI integrations across natural language processing, computer vision, and predictive analytics
• Lead the development of complex, multi-tenant AI systems serving millions of users with high availability and performance requirements
• Architect advanced RAG (Retrieval-Augmented Generation) systems, agentic workflows, and autonomous AI architectures
• Design cost-efficient, scalable LLM integration strategies across multiple providers with advanced optimization and failover mechanisms
• Establish frameworks for AI model evaluation, A/B testing, and performance optimization at enterprise scale

Cross-Team Technical Influence:

• Drive adoption of emerging AI technologies and evaluate their strategic impact on product development
• Lead technical due diligence and integration planning for major AI technology decisions
• Collaborate with external partners, vendors, and research institutions on cutting-edge AI initiatives
• Establish monitoring, observability, and cost management frameworks for AI systems across the organization
• Contribute to open source projects and represent the company at technical conferences and industry events

Engineering Excellence & Innovation:

• Champion engineering best practices including comprehensive testing, code quality, security, and scalability standards
• Expert in Agile Development
• Lead investigation and proof-of-concept development for emerging AI technologies and methodologies
• Drive technical innovation initiatives that differentiate our AI capabilities in the market
• Establish and maintain technical documentation, a