Description
ai strategy
ai development
llm design
rag architecture
cost management
mentorship
Collaboration is central to the position; the engineer works closely with product, data‑science, and engineering leaders, as well as business executives and CIOs. They also mentor teams, raising standards for AI development, testing, security, and documentation, while tailoring communication to diverse audiences and proactively preventing conflicts.
- 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 custom LLMs for specific domain data.
- Represent GE Vernova as a subject‑matter‑expert with partners, vendors, and customers.
- Apply 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
python
genai
vector db
aws
leadership
- Bachelor’s degree in Computer Science, Computer Engineering, or related field.
- 15+ years of programming experience, preferably Python; also Java, Node.js or Go.
- Proven experience designing and deploying production GenAI applications using large language models at scale.
- Experience with vector databases (Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization.
- Expertise with multiple LLM providers, AI orchestration frameworks (LangChain, LlamaIndex, custom) and custom agents.
- Extensive experience leading technical teams, creating strategy, and providing mentorship.
- Expert‑level experience with cloud platforms (AWS, GCP, Azure) and advanced containerization (EKS).
- Familiarity with responsible AI best practices, including data privacy, bias mitigation, and model monitoring.
- Strong problem‑solving, communication, ownership, and drive.
- Willingness to work on‑site in Niskayuna, NY.
- 18+ years of full software development lifecycle experience, including architecture design and large‑scale 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 custom AI model deployment.
- Experience with AI observability tools, cost optimization, and performance monitoring at enterprise scale.
- Experience collaborating across organizations and communicating technology strategy to diverse stakeholders.
- Experience with technical strategy development and roadmap planning.
Benefits
GE Vernova offers a growth‑focused environment that values autonomy, robust research‑product collaboration, and professional development. The company’s mission is to electrify the world and decarbonize energy, embodying the mantra ‘The Energy to Change the World.’
Compensation ranges from $164,400 to $274,000 with discretionary annual bonuses, geographic differentials, and a comprehensive benefits package that includes medical, dental, vision, 401(k) matching, tuition and adoption assistance, paid parental leave, and generous paid time off.
Training + Development
Information not given or found
