Senior Principal AI Software Engineer

🔥 5 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.

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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 technical vision and oversee AI architecture and platforms • Identify reusable foundational services to accelerate AI application development • Conceive, evaluate, and design Industrial AI Service offerings • Influence AI strategy, direction, and policy • Lead cross-team initiatives with product and data science teams • Lead architecture and support implementation of large-scale AI programs across business segments • Design agent workflows and RAG architecture • Develop approaches for custom LLMs using domain-specific data • Represent GE Vernova as a subject-matter expert with partners, vendors, and customers • Apply AI trends to develop new practices • Review business requirements and clarify trade-offs • Establish AI cost management, monitoring, and security standards • Partner with product leaders, data scientists, engineering leaders, business executives, and CIOs • Mentor teams and raise standards in AI development, testing, security, and documentation

🎯 Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field • Extensively demonstrated programming experience in a relevant language; Python preferred, Java, Node.js, or Go • Proven experience designing and deploying production GenAI applications using large language models at scale • Experience with vector databases such as pgvector, Milvus, or Pinecone • Advanced embedding model optimization experience in production applications • Expertise with multiple LLM providers • Experience with advanced AI orchestration frameworks such as LangChain, LlamaIndex, or custom frameworks • Experience with evaluation frameworks and creating custom agents • Extensive experience leading technical teams, creating technical strategy, and providing technical mentorship • Expert-level experience with cloud platforms such as AWS, GCP, or Azure • Advanced containerization experience, including EKS • Familiarity with responsible AI best practices, including data privacy, bias mitigation, and model monitoring • Systematic problem-solving approach, strong communication skills, ownership, and drive • Preferred: full software development lifecycle experience, enterprise RAG architectures, semantic search optimization, conversation memory management, multimodal AI integration, model fine-tuning, custom AI model deployment, AI observability tools, AI cost optimization, performance monitoring, cross-organizational collaboration, technology strategy, and roadmap planning

🏖️ Benefits

• Relocation assistance provided • Remote work arrangement