Principal AI Software Engineer
About The Position
As a Principal AI Software Engineer, you will define the technical architecture and drive the strategy for enterprise-grade AI solutions across the organization. You will lead the integration of LLMs, agentic workflows, and predictive analytics into the product ecosystem, ensuring systems are secure, scalable, and cost-efficient. You will bridge research and product, mentor engineering teams, and champion high standards in software craftsmanship, reliability, and security. You will set the technical vision and architectural standards for AI initiatives; lead the design and implementation of RAG architectures, complex agent workflows, and LLM orchestration; and build and maintain multi-tenant, high-availability AI systems with a focus on observability and performance at scale. You will also define and enforce standards for AI security, cost management, and model monitoring, and partner with product, data science, and engineering teams on cross-functional initiatives. GE Vernova describes its work environment as professional and challenging, and offers professional development and competitive compensation. The U.S.-based salary range is $145,400 to $242,500, with geographic differentials in certain areas. The role is eligible for a discretionary annual bonus. Relocation assistance is provided. The posting was expected to remain open for at least seven days after November 03, 2026.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
- At least 10 years of professional software development experience.
- Mastery of modern front-end frameworks such as React, Vue, or Angular.
- Experience with robust backend languages; Python is preferred, with Java, Node.js, or Go also listed.
- Demonstrated experience architecting and deploying production-grade applications using LLMs or AI/ML services.
- Strong practical experience with vector databases such as Milvus, Pinecone, or pgvector, and embedding model optimization.
- Expertise in AI orchestration frameworks such as LangChain, LlamaIndex, or AgentCore.
- Deep proficiency in cloud-native development on AWS, GCP, or Azure, and containerization with EKS/Kubernetes.
- Ability to communicate complex technical strategies to diverse stakeholder groups.
Nice To Haves
- 13 or more years of experience across the full software development lifecycle.
- Advanced understanding of large-scale enterprise RAG, semantic search, and conversation memory management.
- Experience with multimodal AI, model fine-tuning, and deployment of custom AI models.
- Expertise in AI observability tools, performance monitoring, and cost-optimization strategies.
- Track record of influencing technology roadmaps and driving cross-organizational collaboration.
Responsibilities
- Set the technical vision and architectural standards for AI initiatives, aligned with organizational goals.
- Lead the design and implementation of RAG architectures, complex agent workflows, and LLM orchestration.
- Build and maintain multi-tenant, high-availability AI systems, focusing on observability and performance at scale.
- Define and enforce standards for AI security, cost management, and model monitoring.
- Lead cross-functional initiatives in partnership with product, data science, and engineering teams.
- Mentor engineering teams and elevate technical standards through collaboration and design.
- Integrate LLMs, agentic workflows, and predictive analytics into the product ecosystem.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Prescription drug coverage
- 24/7 nurse-based Health Coach resource
- Employee Assistance Program with confidential assessment, counseling, and referral services
- 401(k) savings opportunity with company matching and company retirement contributions
- Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Professional development
- Relocation assistance
- Discretionary annual bonus eligibility
- Competitive compensation
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What This Job Offers
Job Type
Full-time
Career Level
Principal
