Principal Ai Software Engineer

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 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 architectural decision records and knowledge sharing practices Lead incident response and post-mortem processes for complex AI system issues REQUIRED QUALIFICATIONS Master s Degree in Electrical Computer Science Computer Engineering Robotics or related field 10 years of non-internship professional software development experience 12 years of programming using JavaScript TypeScript and multiple backend languages Python preferred Node js Java or Go 6 years of experience with modern front-end frameworks React Vue or Angular and advanced state management patterns Proven track record designing and shipping complex production applications that incorporate LLMs or AI services at enterprise scale 1M users Advanced expertise in prompt engineering model optimization and deep understanding of AI system limitations and capabilities Demonstrated experience with agentic workflows and autonomous AI system architectures Extensive experience leading technical teams driving cross-team initiatives and providing technical mentorship Expert-level experience with cloud platforms AWS GCP or Azure and advanced containerization EKS orchestration and infrastructure as code GitOps Strong background in system design scalability and performance optimization for high-traffic applications Must be willing to work out of an office located in Bangalore JFWTC Campus You must submit your application for employment on the careers page at careers gevernova com to be considered PREFERRED QUALIFICATIONS 18 years of full software development lifecycle experience including architecture design technical leadership and large-scale system optimization Expert-level experience with vector databases Pinecone Weaviate pgvector and advanced embedding model optimization Deep expertise with multiple LLM providers and advanced AI orchestration frameworks LangChain LlamaIndex custom frameworks Advanced understanding of enterprise RAG architectures semantic search optimization and conversation memory management at massive scale Experience with multi-modal AI integration model fine-tuning and deployment of custom AI models Track record of building and scaling AI-powered features for 10M users with high availability requirements Expert knowledge of AI observability tools cost optimization strategies and performance monitoring at enterprise scale Master s degree or PhD in computer science AI ML or equivalent advanced technical education Extensive experience with agent architectures autonomous AI systems and cutting-edge agentic workflow implementations Background in machine learning research AI safety or advanced AI system design Experience with technical strategy development and technology roadmap planning Technical Stack Languages Python TypeScript JavaScript SQL Go Rust for performance-critical components Frontend React Next js Vue js Advanced CSS frameworks Progressive Web Apps Micro-frontends Backend Node js Express FastAPI PostgreSQL Redis MongoDB Event-driven architectures Microservices AI ML OpenAI API Anthropic Claude API Advanced LangChain implementations pgvector Pinecone Custom model deployments Advanced agentic workflow frameworks Infrastructure Enterprise AWS Azure services Advanced Kubernetes Service mesh Infrastructure as Code Multi-region deployments Development Tools GitHub Copilot Advanced AI-assisted development environments Custom tooling and automation Monitoring Enterprise observability platforms Advanced LLM cost monitoring Performance optimization tools Custom analytics Additional Information Relocation Assistance Provided Yes