GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy.
The Role
Lead enterprise AI architecture, strategy, and technical vision across products and business segments. Design and deploy scalable GenAI applications using LLMs, agent workflows, RAG, vector databases, NLP, and computer vision. Establish standards for AI security, monitoring, cost management, responsible AI, and documentation. Partner with product, data science, engineering, executives, customers, and vendors while mentoring teams and driving reusable AI platforms and services.
Summary Generated by Built In
Job Description SummaryAs 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
#LI-Remote - This is a remote position
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
Relocation Assistance Provided: Yes
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
- Extensive programming experience using Python, Java, Node.js, Go, or another relevant modern language
- 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 and AI orchestration frameworks such as LangChain, LlamaIndex, or custom frameworks
- Experience with evaluation frameworks and custom agent creation
- Extensive experience leading technical teams, creating technical strategy, and providing technical mentorship
- Expert-level experience with AWS, GCP, or Azure and advanced containerization including EKS
- Familiarity with responsible AI practices, including data privacy, bias mitigation, and model monitoring
- Systematic problem-solving approach, strong communication skills, ownership, and drive
- Full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization
- Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale
- Experience with multimodal AI integration, model fine-tuning, and deployment of custom AI models
- Experience with AI observability tools, cost optimization strategies, and enterprise-scale performance monitoring
- Experience with cross-organizational collaboration and communicating technology strategy to varied stakeholders
- Experience with technical strategy development and technology roadmap planning
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
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Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
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Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
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Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
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The Company
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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