Staff AI Engineer: Build Production-Grade Agentic AI

NTT DATA AIVista; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision insurance

401(k) plan

Significant Company HSA contribution

Paid holidays and flexible PTO

Résumé du poste

NTT DATA AIVista in Palo Alto seeks a Member of Technical Staff - AI Engineer to design, develop, and deploy AI capabilities for enterprise-scale environments. You will build agentic infrastructure, customize models, and create end-to-end workflows, delivering production-grade software from implementation through deployment and iteration.

Join a collaborative team partnering with global NTT units to translate AI techniques into practical software, with a focus on performance, scalability, and

Qualifications

• Undergraduate degree in Computer Science or related field, or equivalent practical experience.
• 3+ years of software engineering experience building AI-powered products or production AI systems.
• Strong CS fundamentals with production-quality software development.
• Hands-on experience with modern AI technologies or architectures.

Responsabilités

• Design, develop, and deploy AI capabilities in enterprise environments.
• Build agentic infrastructure, model customization, and agent workflows.
• Deliver production-grade software with ownership from implementation to deployment.

Connaissances

Agentic systems

Agent orchestration

RAG

Model customization

LLMs

AI infrastructure

Data processing

Multi-agent architectures

Production software

Problem solving

Formation

Bachelor's degree in CS/AI/ML or related

Description du poste

NTT DATA AIVista in Palo Alto seeks a Member of Technical Staff - AI Engineer to design, develop, and deploy AI capabilities for enterprise-scale environments. You will build agentic infrastructure, customize models, and create end-to-end workflows, delivering production-grade software from implementation through deployment and iteration.

Join a collaborative team partnering with global NTT units to translate AI techniques into practical software, with a focus on performance, scalability, and