[Hiring] Senior Principal AI Software Engineer @GE Vernova

Role Description

As a Senior Principal AI Software Engineer, you will establish a technical vision, oversee and lead AI architecture, AI platform, and identify reusable foundational services to accelerate AI application development. Using your AI expertise, competitive intelligence, and customer knowledge to conceive, evaluate, and design Industrial AI Service offerings.

Apply a strategic understanding of the timing and rationale of AI design choices and help decide upon critical design areas early in the development process. You’ll drive new ways of thinking across groups within business units to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.

You’ll integrate LLMs, agent workflows, NLP, computer vision, RAG, and predictive analytics to build secure, high-availability, and cost-efficient AI-based solutions.

We will count on you to tailor communication to a variety of audiences and perspectives and anticipate issues to prevent conflict. We will depend on you to choose appropriate internal or external technologies, incorporate research, and create designs that are reused across teams. We’ll count on you being an excellent judge of AI practices that work well.

You’ll partner with product, data science, engineering leaders, business executives, and CIOs. You’ll mentor teams and raise standards in AI development, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product.

Qualifications

• 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

Requirements

• Extensively demonstrated experience of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization
• Advanced understanding of enterprise RAG architectures, semantic search optimisation, and conversation memory management at massive scale
• Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models
• Experience with AI observability tools, cost optimisation strategies for different AI application types, and performance monitoring at enterprise scale
• Experience with cross-organisational collaboration and communicating technology strategy across a variety of stakeholders
• Experience with technical strategy development and technology roadmap planning

Benefits

• Relocation Assistance Provided: Yes
• #LI-Remote - This is a remote position