AI Engineer – Member of Technical Staff

NTT DATA AIVista

. Design, develop, and deploy AI capabilities, including agentic infrastructure, model customization, and agentic workflows .

Posted 9/23/2026full-timePalo Alto • California • United StatesLead💰 $180,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI capabilities, with a strong foundation in software engineering and hands-on experience in building AI-powered products. Proficient in translating complex AI techniques into practical software solutions while ensuring performance, scalability, and reliability.

Highest-signal resume keywords

AI Capability DevelopmentProduction-Quality Software DevelopmentLarge Language Models (LLMs)Model Customization and OptimizationAI Infrastructure and Inference Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI TechnologiesModel CustomizationData ProcessingKnowledge PipelinesAgentic SystemsAgent OrchestrationRetrieval-Augmented Generation (RAG)Multi-Agent ArchitecturesPerformance Optimization

Soft Skills

Problem-SolvingAnalytical SkillsCommunicationCollaborationCuriosity

Certifications & Qualifications

Undergraduate Degree in Computer ScienceUndergraduate Degree in Artificial IntelligenceUndergraduate Degree in Machine Learning

Industry Keywords

AI CapabilitiesEnterprise EnvironmentsScalabilityReliabilityCost Management

About the role

Key responsibilities & impact

Design, develop, and deploy AI capabilities, including agentic infrastructure, model customization, and agentic workflows
Build scalable AI capabilities with engineering and science teams
Solve complex technical problems
Deploy AI capabilities within enterprise environments
Write production-quality software
Take ownership of meaningful components or capabilities from implementation through deployment and ongoing improvement

Requirements

What you’ll need

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 one or more modern AI technologies or architectures, such as agentic systems and agent orchestration, Retrieval-Augmented Generation (RAG), model customization, tuning or optimization, Large Language Models (LLMs), AI infrastructure and inference systems, data processing and knowledge pipelines, or agent protocols and 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

Comp & perks

Medical, dental, and vision insurance
401(k) plan
Significant Company HSA contribution
Paid holidays and flexible PTO
Annual target bonus and other cash incentives, with a combined potential of up to 150% of base salary