Principal AI Software Engineer

Jobtailor

Massachusetts

Hybrid

USD 200,000 - 260,000

Full time

3 days ago

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Job summary

GE Vernova seeks a senior AI architect to drive the technical vision for enterprise AI applications. You will lead cross-team initiatives, design scalable LLM-powered systems, and optimize workflows such as RAG and agent orchestration.

The role requires strong experience in cloud platforms, MLOps, and security standards, with a track record delivering production AI services at scale. Hybrid onboarding occurs at the GE Vernova Advanced Research Center in Niskayuna, NY for Cambridge-based

Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
10+ years of programming experience in a relevant language.
Experience with front-end frameworks: React, Vue, or Angular.
Experience with backend languages: Python preferred, Java/Node.js/Go.

Responsibilities

Drive technical vision and architect enterprise AI applications across multiple company initiatives.
Set AI architecture and technical vision across products.
Lead cross-team initiatives with product and data science leaders.
Design RAG and agent workflows and optimize LLM integrations.
Build multi-tenant, high-availability systems with observability.
Establish AI cost management, monitoring, and security standards.
Partner with product, data science, and engineering leaders.
Mentor teams and raise standards in Agile, testing, security, and documentation.

Skills

Enterprise AI Architecture

LLM Integration

Cross-Team Leadership

Cloud Expertise

Containerization (EKS)

Mentoring

Agile Methodologies

Observability

Education

Bachelor’s degree in CS/CE or related field

Tools

LangChain

LlamaIndex

AI Orchestration Frameworks

AI Observability Tools

Job description

Drive technical vision and architect enterprise AI applications across multiple company initiatives
Set AI architecture and technical vision across products
Lead cross-team initiatives with product and data science leaders
Design RAG and agent workflows and optimize LLM integrations
Build multi-tenant, high-availability systems with observability
Establish AI cost management, monitoring, and security standards
Partner with product, data science, and engineering leaders
Mentor teams and raise standards in Agile, testing, security, and documentation
Complete a required three-month hybrid onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY for Cambridge-based resources
Collaborate with scientists and engineers during the onboarding residency

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
10+ years of programming experience in a relevant language
Experience using modern front-end frameworks: React, Vue, or Angular
Experience with multiple backend languages: Python preferred, Java, Node.js, or Go
Proven track record designing and shipping production applications incorporating LLMs or AI services at scale
Experience with vector databases such as Milvus, Pinecone, Weaviate, or pgvector
Advanced embedding model optimization in production applications
Expertise with multiple LLM providers and AI orchestration frameworks such as LangChain, LlamaIndex, or custom frameworks
Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship
Expert-level experience with AWS, GCP, or Azure
Advanced containerization experience with EKS
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA
Must be legally authorized to work in the United States
Successful completion of a drug screen, as applicable
Preferred: 13+ years of full software development lifecycle experience
Preferred: Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale
Preferred: Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models
Preferred: Experience with AI observability tools, cost optimization strategies, and enterprise-scale performance monitoring
Preferred: Experience with cross-organizational collaboration and influencing teams’ directions and road maps
Preferred: Experience with technical strategy development and technology roadmap planning

Core Competencies

Demonstrates expertise in architecting enterprise AI applications, leading cross-team initiatives, and optimizing LLM integrations. Proficient in advanced AI cost management, security standards, and mentoring technical teams in Agile methodologies.

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