Influence AI strategy, direction and policy.
Guide AI software development and technical vision across products and solutions.
Lead cross-team initiatives with product and data science.
Design agent workflows, RAG architecture and develop approaches to develop custom LLMs with specific domain data.
Represent GE Vernova as a subject-matter-expert with partners, vendors and customers.
Apply your knowledge of AI trends to develop new practices.
Review business requirements and help the team understand trade offs.
Establish AI cost management, monitoring, and security standards.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
15+ years of programming experience in a relevant language using modern languages (Python preferred, Java, Node.js or Go)
Proven experience designing and deploying production GenAI applications that use large language models 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, advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks) and creating custom agents.
Extensive experience leading technical teams, creating technical strategy, and providing technical mentorship
Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS)
Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and model monitoring.
Systematic problem-solving approach, strong communication skills, a sense of ownership and drive.
Must be willing to work out of an office located in Niskayuna, NY or Boston, MA.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaNode.jsGoGenAI applicationslarge language modelsvector databasesembedding model optimizationAI orchestration frameworkscloud platforms

Soft Skills

leadershiptechnical strategytechnical mentorshipcommunicationproblem-solvingownershipdrive