Ntt Data Aivista
Member of Technical Staff (LA) – AI Engineer
San Francisco Bay Area, Remote. Posted a month ago
The role
This role involves designing, developing, and deploying AI capabilities including agentic infrastructure, model customization, and agentic workflows. You will work with engineering and science teams to build scalable AI capabilities for large enterprises.
What you will do
- Design, develop, and deploy AI capabilities
- Build agentic infrastructure, model customization, and agentic workflows
- Build scalable AI capabilities
- Solve complex technical problems
- Deploy capabilities within enterprise environments
- Write production-quality software
- Take ownership of components from implementation through deployment and ongoing improvement
Required qualifications
- Undergraduate degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience
- 3+ years of relevant software engineering experience, including hands-on experience building or contributing to AI-powered products or production AI systems
- Strong foundation in computer science and software engineering
- Hands-on experience developing production-quality software
- Hands-on experience with at least one or more modern AI technologies or architectures, such as Agentic systems and agent orchestration, Retrieval-Augmented Generation (RAG), Model customization, tunin
- Experience translating AI techniques or models into practical software capabilities
- Ability to make sound implementation decisions and understand tradeoffs involving performance, scalability, reliability, and cost
- Demonstrated curiosity and ability to learn quickly
- Strong problem-solving, analytical, communication, and collaboration skills
Benefits
- Medical, dental, and vision insurance
- 401(k) plan
- Significant Company HSA contribution
- Paid holidays
- Flexible PTO
About the company
NTT DATA AIVista, Inc. is a wholly owned subsidiary of NTT DATA based in Silicon Valley. They develop AI products that operationalize AI across enterprises operating in complex regulatory environments.