Job Description SummaryAs a Principal AI Software Engineer, you will define the technical architecture and drive the strategy for enterprise-grade AI solutions across our organization. You will lead the integration of LLMs, agentic workflows, and predictive analytics into our product ecosystem, ensuring these systems are secure, scalable, and cost-efficient. You will be a bridge between research and product, mentoring engineering teams and championing high standards in software craftsmanship, reliability, and security.
Job DescriptionEssential Responsibilities
- Architectural Leadership: Set the technical vision and architectural standards for AI initiatives, ensuring alignment with organizational goals.
- AI Integration: Lead the design and implementation of RAG architectures, complex agent workflows, and LLM orchestration.
- System Design: Build and maintain multi-tenant, high-availability AI systems with a focus on observability and performance at scale.
- Operational Excellence: Define and enforce standards for AI security, cost management, and model monitoring.
- Mentorship & Collaboration: Lead cross-functional initiatives by partnering with product, data science, and engineering teams to elevate technical standards through mentorship and collaborative design.
Required Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
- Minimum of 10 years of professional software development experience, including mastery of modern front-end frameworks (React, Vue, or Angular) and robust backend languages (Python preferred; Java, Node.js, or Go).
- Demonstrated experience architecting and deploying production-grade applications leveraging LLMs or AI/ML services.
- Strong practical experience with vector databases (e.g., Milvus, Pinecone, pgvector) and embedding model optimization.
- Expertise in AI orchestration frameworks such as LangChain, LlamaIndex, or AgentCore.
- Deep proficiency in cloud-native development (AWS, GCP, or Azure) and containerization (EKS/Kubernetes).
- Proven ability to communicate complex technical strategies to diverse stakeholder groups.
Desired Characteristics
- 13+ years of experience across the full software development lifecycle.
- Advanced understanding of large-scale enterprise RAG, semantic search, and conversation memory management.
- Experience with multi-modal AI, model fine-tuning, and the 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.
For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on October 15, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
