Principal AI Software Engineer

GE Vernova

1d•$145,400 - $242,500

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 promote high standards in software craftsmanship, reliability, and security. The role sets technical vision and architectural standards for AI initiatives; leads design and implementation of RAG architectures, agent workflows, and LLM orchestration; and builds and maintains multi-tenant, high-availability AI systems with a focus on observability and performance at scale. It also defines standards for AI security, cost management, and model monitoring, while partnering with product, data science, and engineering teams on cross-functional initiatives. GE Vernova describes its work environment as offering professional development, challenging careers, and competitive compensation. Relocation assistance is provided. For U.S.-based candidates, the stated pay range is $145,400 to $242,500, with geographic differentials in certain areas. The position is eligible for a discretionary annual bonus. Employment requires authorization to work in the United States, and an offer is conditioned on successful completion of a drug screen, as applicable.

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.
Strong backend language skills; Python is preferred, with Java, Node.js, or Go also listed.
Demonstrated experience architecting and deploying production-grade applications leveraging 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, including 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 rigorous cost-optimization strategies.
A track record of influencing technology roadmaps and driving cross-organizational collaboration.

Responsibilities

Set the technical vision and architectural standards for AI initiatives in alignment 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 focused on observability and performance at scale.
Define and enforce standards for AI security, cost management, and model monitoring.
Lead cross-functional initiatives 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 while ensuring systems are secure, scalable, and cost-efficient.

Benefits

Medical, dental, vision, and prescription drug coverage.
Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services.
GE Vernova Retirement Savings Plan, including a tax-advantaged 401(k) savings opportunity with company matching and company retirement contributions.
Access to 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.