Sr Principal AI Software Engineer

GE Vernova

United States

On-site

USD 180,000 - 240,000

Full time

48 hours ago
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Benefits offered by this job

Relocation assistance
Remote-friendly
Career growth opportunities

Job summary

GE Vernova, Inc. seeks a Senior Principal AI Software Engineer to establish a technical vision, lead AI architecture and platform, and design foundational services that accelerate industrial AI development.

You will integrate LLMs, NLP, computer vision, RAG, and analytics to deliver secure, scalable AI solutions across business units. You will mentor teams, drive best practices in AI development, testing, security, and documentation, and collaborate with product, data science, and executive

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
  • Proficient in Python; Java/Node.js/Go also acceptable.
  • Experience deploying production GenAI applications using large language models at scale.
  • Experience with vector databases and embedding model optimization in production.
  • Expertise with multiple LLM providers and AI orchestration frameworks.

Responsibilities

  • Influence AI strategy, direction and policy.
  • Oversee and lead AI architecture and technical vision across products and solutions.
  • Lead cross-team initiatives with product and data science.
  • Architect and support large-scale AI programs across business segments.
  • Design agent workflows and RAG architectures; develop custom LLMs with domain data.
  • Represent GE Vernova as a subject-matter-expert with partners and customers.
  • Apply AI trend knowledge to develop new practices.
  • Review business requirements and guide trade-off decisions.
  • Establish AI cost management, monitoring, and security standards.

Skills

Python
LLMs
AI orchestration
Cloud platforms
Leadership
Communication

Education

Bachelor's degree in CS/CE or related

Tools

LangChain
LlamaIndex
Milvus
Pinecone
Apex EKS

Job description

Job Description Summary

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.

Job Description
Responsibilities
  • Influence AI strategy, direction and policy.
  • Oversee and lead all AI architecture and technical vision across products and solutions.
  • Lead cross-team initiatives with product and data science.
  • Lead architecture and support implementation on large scale AI program across business segments
  • Design agent workflows, RAG architecture and develop approaches to develop custom LLMs with specific domain data.
  • Represent GE Vernova as a subject-matter-expert with partners, vendors and customers.
  • Apply your knowledge of AI trends to develop new practices.
  • Review business requirements and help the team understand trade offs.
  • Establish AI cost management, monitoring, and security standards.
Required 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.
Preferred Qualifications
  • 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
Additional Information

Relocation Assistance Provided: Yes

#LI-Remote - This is a remote position

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