Principal AI Engineer
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Job Summary
Job Description Summary
As a Principal AI Software Engineer you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You will designs program document test and fixes bugs involved in creating and maintaining AI applications and frameworks. Youll integrate LLMs agent workflows NLP computer vision and predictive analytics to build secure high-availability and cost-efficient AI based solutions. Youll partner with product data science and engineering leaders mentor teams and raise standards in Agile testing security and documentation. We support growth autonomy and collaboration across research and product.Job Description
Roles and Responsibilities
- Design build deliver and maintain AI software applications & services. Working in the areas of AI cloud platforms and/or application. Responsible for full software lifecycle including activities such as requirement analysis documentation/procedures implementation and bug fixing.
Establish AI architecture and technical vision across products.
Lead cross-team initiatives with product and data science.
Design RAG and agent workflows; optimize LLM integrations.
Build multi-tenant high-availability systems with observability.
Establish AI cost management monitoring and security standards
- Stay informed of AI industry trends and guide teams to upskill on best practices.
- Communicate strategy and direction of AI application delivery to relevant stakeholders.
- Lead functional teams or projects with minimal resource requirements risk and/or complexity. Communicates difficult concepts and influence others options on particular topics. Guide others to consider a different point of view.
Required Qualifications
Bachelors degree in Computer Science Computer Engineering or related technical field.
10 years of programming experience in a relevant language using modern front-end frameworks (React Vue or Angular) and multiple backend languages (Python preferred Java or Go).
Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
Experience with vector databases (e.g. Milvus Pinecone Weaviate pgvector) and advanced embedding model optimization in production applications.
Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain LlamaIndex custom frameworks).
Extensive experience leading technical teams driving cross-team initiatives and providing technical mentorship.
Expert-level experience with cloud platforms (AWS GCP or Azure) and advanced containerization (EKS).
Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document plan market and execute programs.
Desired Characteristics
15 years of 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 multi-modal AI integration model fine-tuning and deployment of custom AI models.
Experience with AI observability tools cost optimization strategies and performance monitoring at enterprise scale.
Experience with cross-organizational collaboration and influencing other teams directions and road maps.
Experience with technical strategy development and technology roadmap planning.
Additional Information
Relocation Assistance Provided: Yes
Required Experience:
Staff IC
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.
