Member of Technical Staff (LA) – AI Engineer
Summary
Hands-on AI engineer at NTT DATA AIVista (an NTT DATA subsidiary) who designs, builds, and deploys enterprise AI capabilities — agentic infrastructure, agentic workflows, RAG, and model customization — for large enterprises, including those in regulated industries. Core tech: LLMs, agentic/orchestration systems, RAG, model tuning, and AI inference infrastructure.
Member of Technical Staff (LA) – AI Engineer
Palo Alto, CA
NTT DATA AIVista, Inc., a wholly owned subsidiary of NTT DATA, is based in Silicon Valley. We develop AI products that operationalize AI across enterprises operating in complex regulatory environments. We partner with other NTT companies (NTT DATA Inc, NTT DATA Japan, NTT Docomo) to ensure successful deployment to NTT clients. Our clients benefit from AIVista's deep product AI expertise combined with the industry domain and systems integration experience of NTT DATA.
Role Description
The Member of Technical Staff- AI Engineer role involves designing, developing, and deploying AI capabilities, including agentic infrastructure, model customization, and agentic workflows for some of the world's largest enterprises.
This is a hands-on engineering role for engineers with strong software engineering fundamentals and experience building or contributing to production AI systems. You will work alongside experienced engineering and science teams to build scalable AI capabilities, solve complex technical problems, and deploy those capabilities within enterprise environments.
Successful candidates will be comfortable writing production-quality software, working with modern AI technologies, and taking ownership of meaningful components or capabilities from implementation through deployment and ongoing improvement.
We are looking for engineers who want to build AI systems, not simply consume them. Candidates should have hands-on experience developing AI-powered applications, infrastructure, models, or related capabilities and an interest in deepening their expertise in agentic AI systems.
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, with hands-on experience developing production-quality software.
Hands-on experience with at least one or more modern AI technologies or architectures, such as:
o Agentic systems and agent orchestration
o Retrieval-Augmented Generation (RAG)
o Model customization, tuning, or optimization
o Large Language Models (LLMs)
o AI infrastructure and inference systems
o Data processing and knowledge pipelines
o Agent protocols or multi-agent architectures
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 as AI technologies and development practices evolve.
Strong problem-solving, analytical, communication, and collaboration skills.
Benefits
Medical, dental, and vision insurance
401(k) plan
Significant Company HSA contribution
Paid holidays and flexible PTO
The estimated annual salary range for this role is $180,000–$240,000 USD. The salary for the successful applicant will depend on job-related factors such as education, training, work experience, business needs, and market demands. This range may be modified in the future. Total compensation also includes variable pay in the form of an annual target bonus and other cash incentives, with a combined potential of up to 150% of base salary.
NTT DATA AIVista is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, ancestry, sex, gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, reproductive health decisions, or any other characteristic protected under applicable federal, state, or local law.
Skills
As published by ashby · 6 questions
Basics
Name, Email, Location, Resume
Short answers (4)
- Phone Number
- LinkedIn Profile
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- Are you open to working in-office at least 4 days per week on a flexible schedule in our Palo Alto, CA office ((Monday, Tuesday, Thursday and Friday with Wednesdays Optional)
- How did you first hear about this opportunity at AIVista?