Senior Principal AI Software Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

GE Vernova

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.

📋 Description

• Establish a technical vision and oversee and lead AI architecture and platforms • Identify reusable foundational services to accelerate AI application development • Conceive, evaluate, and design Industrial AI Service offerings using AI expertise, competitive intelligence, and customer knowledge • Guide strategic AI design choices and critical design areas early in development • Drive new ways of thinking across business-unit groups to improve quality, engineering productivity, and responsiveness • Integrate LLMs, agent workflows, NLP, computer vision, RAG, and predictive analytics into secure, high-availability, cost-efficient AI solutions • Select appropriate internal or external technologies, incorporate research, and create reusable designs across teams • Partner with product, data science, engineering leaders, business executives, and CIOs • Mentor teams and raise standards in AI development, testing, security, and documentation • Influence AI strategy, direction, and policy • Lead cross-team initiatives and large-scale AI programs across business segments • Design agent workflows and RAG architecture; develop approaches for custom LLMs using domain data • Represent GE Vernova as a subject-matter expert with partners, vendors, and customers • Develop new practices based on AI trends • Review business requirements and clarify trade-offs • Establish AI cost management, monitoring, and security standards

🎯 Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field • Extensively demonstrated programming experience in a relevant language using modern languages (Python preferred, Java, Node.js or Go) • Proven experience designing and deploying production GenAI applications that use large language models at scale • Experience with vector databases (e.g. pgvector, Milvus, Pinecone) and advanced embedding model optimisation in production applications • Expertise with multiple LLM providers, advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks), Eval frameworks and creating custom agents • Extensive experience leading technical teams, creating technical strategy, and providing technical mentorship • Expert-level experience with cloud platforms (i.e AWS, GCP, or Azure) and advanced containerisation (EKS) • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and model monitoring • Systematic problem-solving approach, strong communication skills, a sense of ownership and drive • Preferred: Extensively demonstrated full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization • Preferred: Advanced understanding of enterprise RAG architectures, semantic search optimisation, and conversation memory management at massive scale • Preferred: Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models • Preferred: Experience with AI observability tools, cost optimisation strategies for different AI application types, and performance monitoring at enterprise scale • Preferred: Experience with cross-organisational collaboration and communicating technology strategy across a variety of stakeholders • Preferred: Experience with technical strategy development and technology roadmap planning

🏖️ Benefits

• Relocation assistance provided • Growth, autonomy, and collaboration across research and product