Member of Technical Staff (LA) - AI Engineer

NTT DATA AIVista

• $180K — $240K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate degree in Computer Science, AI, Machine Learning, or related field; Master's or PhD preferred.
  • 3+ years in software engineering with experience in AI products or production systems.
  • Strong foundation in software engineering and development of production-quality software.
  • Hands-on experience with modern AI technologies like agentic systems, LLMs, or AI infrastructure.
  • Experience translating AI techniques into functional software capabilities.
  • Knowledge of implementation tradeoffs: performance, scalability, and reliability.
  • Curiosity and capacity to learn evolving AI technologies quickly.

Responsibilities

  • Design and develop AI capabilities for enterprise applications.
  • Build and deploy robust agentic infrastructure and workflows.
  • Collaborate with teams to create scalable AI solutions.
  • Solve complex technical problems in AI system development.
  • Take ownership of key components in AI projects from implementation to deployment.
  • Continuously refine and enhance deployed AI capabilities.

Benefits

  • Medical, dental, and vision insurance
  • 401(k) plan
  • Significant company HSA contribution
  • Paid holidays and flexible PTO
Full Job Description
Member of Technical Staff (LA) - AI Engineer

Palo Alto, CA

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. Master's or PhD degree preferred.
  • 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.

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