
Principal AI Software Engineer
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Overview
Job Description
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’ll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions.You’ll 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
RESPONSIBILITIES:
- Set 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.
REQUIRED QUALIFICATIONS
- Bachelor’s 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, Node.js 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).
- Must be willing to work out of an office located in Niskayuna, NY or Boston, MA.
PREFERRED QUALIFICATIONS
- 13+ 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.
Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
