Principal AI Software Engineer

Job Description SummaryWe 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 DescriptionKey job responsibilitiesAs 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 areasAct as an enabler for successful execution of identified projectsLead cross-functional technical initiatives, collaborating with engineering leadership, product management, and data science teamsEstablish technical standards, design patterns, and best practices for AI-augmented development across the organizationDrive technical decision-making for complex systems that span multiple teams and productsMake decisions with confidence when problems or solutions are not well definedManage risk and uncertainty for self and team within a dynamic priority-setting environmentContribute as a thought leader within the team, and help to refine current state as well as future state plans and product roadmapsAdvanced AI Systems Architecture:Design and architect enterprise-scale full stack applications with sophisticated AI integrations across natural language processing, computer vision, and predictive analyticsLead the development of complex, multi-tenant AI systems serving millions of users with high availability and performance requirementsArchitect advanced RAG (Retrieval-Augmented Generation) systems, agentic workflows, and autonomous AI architecturesDesign cost-efficient, scalable LLM integration strategies across multiple providers with advanced optimization and failover mechanismsEstablish frameworks for AI model evaluation, A/B testing, and performance optimization at enterprise scaleCross-Team Technical Influence:Drive adoption of emerging AI technologies and evaluate their strategic impact on product developmentLead technical due diligence and integration planning for major AI technology decisionsCollaborate with external partners, vendors, and research institutions on cutting-edge AI initiativesEstablish monitoring, observability, and cost management frameworks for AI systems across the organizationContribute to open source projects and represent the company at technical conferences and industry eventsEngineering Excellence & Innovation:Champion engineering best practices including comprehensive testing, code quality, security, and scalability standardsExpert in Agile DevelopmentLead investigation and proof-of-concept development for emerging AI technologies and methodologiesDrive technical innovation initiatives that differentiate our AI capabilities in the marketEstablish and maintain technical documentation, architectural decision records, and knowledge sharing practicesLead incident response and post-mortem processes for complex AI system issuesREQUIRED QUALIFICATIONSMaster's Degree in Electrical, Computer Science, Computer Engineering, Robotics or related field10+ years of non-internship professional software development experience12+ years of programming using JavaScript/TypeScript and multiple backend languages (Python preferred, , Java, or Go)6+ years of experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management patternsProven 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 capabilitiesDemonstrated experience with agentic workflows and autonomous AI system architecturesExtensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorshipExpert-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 applicationsMust be willing to work out of an office located in Bangalore JFWTC CampusYou must submit your application for employment on the careers page at to be considered.PREFERRED QUALIFICATIONS18+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimizationExpert-level experience with vector databases (Pinecone, Weaviate, pgvector) and advanced embedding model optimizationDeep 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 scaleExperience with multi-modal AI integration, model fine-tuning, and deployment of custom AI modelsTrack record of building and scaling AI-powered features for 10M+ users with high availability requirementsExpert knowledge of AI observability tools, cost optimization strategies, and performance monitoring at enterprise scaleMaster's degree or PhD in computer science, AI/ML, or equivalent advanced technical educationExtensive experience with agent architectures, autonomous AI systems, and cutting-edge agentic workflow implementationsBackground in machine learning research, AI safety, or advanced AI system designExperience with technical strategy development and technology roadmap planningTechnical StackLanguages: Python, TypeScript/JavaScript, SQL, Go/Rust (for performance-critical components)Frontend: , , Advanced CSS frameworks, Progressive Web Apps, Micro-frontendsBackend: , FastAPI, PostgreSQL, Redis, MongoDB, Event-driven architectures, MicroservicesAI/ML: OpenAI API, Anthropic Claude API, Advanced LangChain implementations, pgvector, Pinecone, Custom model deployments, Advanced agentic workflow frameworksInfrastructure: Enterprise AWS/Azure services, Advanced Kubernetes, Service mesh, Infrastructure as Code, Multi-region deploymentsDevelopment Tools: GitHub Copilot, Advanced AI-assisted development environments, Custom tooling and automationMonitoring: Enterprise observability platforms, Advanced LLM cost monitoring, Performance optimization tools, Custom analyticsAdditional Information Relocation Assistance Provided: Yes