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Trainee Ai Engineer Jobs (NOW HIRING)

VAST Data

Senior Systems Engineer - Federal

Sterling, VA · On-site +1

$103K - $141K/yr

Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ... trainees. * Knowledge of virtualization, high-performance networking and enterprise security.

VAST Data

Senior Systems Engineer - New York

New York, NY · On-site

$114K - $156K/yr

Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ... trainees. * Knowledge of virtualization, high-performance networking and enterprise security.

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How much do trainee ai engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for trainee ai engineer in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Ai Engineer vs Junior Ai Developer?

AspectTrainee Ai EngineerJunior Ai Developer
Required CredentialsTypically pursuing or holding a degree in Computer Science, AI, or related fieldsBachelor's degree in Computer Science or related field, some experience preferred
Work EnvironmentTraining programs, internships, entry-level projectsEntry-level development tasks, supervised projects
Employer & Industry UsageInternships, training programs in tech companies, startupsTech companies, AI startups, research labs

In summary, a Trainee Ai Engineer is usually in a learning or internship phase, focusing on gaining foundational skills, while a Junior Ai Developer has some practical experience and can handle basic development tasks independently.

More about Trainee Ai Engineer jobs
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Trainee Ai Engineer jobs near you

Senior Systems Engineer - Nvidia

VAST Data

San Francisco, CA • On-site

$123K - $168K/yr

Full-time

Posted 3 days ago

Job description

Description
VAST Data is looking for a Senior Systems Engineer - Enterprise Acquisition to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market."- Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
THE ROLE:
  • Assist customers with evaluations and benchmarks, system configurations, and system installations.
  • Work closely with VAST R&D Engineering in helping to define product requirements and usability, including the creation of product specification documents.
  • Participate in the creation of sales strategy and tactics and takes ownership of technical responsibilities within customer accounts.
  • Demonstrate technical leadership and subject matter expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces.
  • Creation of architecture "blueprints" for repeatable solutions that the Sales team will deliver to the customer community.
  • Help with the development of a dispersed group of system and field engineers.
  • Consult on how to form and build and manage a Support organization.

Requirements
  • 5+ years of experience supporting the sales of enterprise storage to large IT organizations
  • Positive energy, optimism and vision.
  • Ability to perform in an unstructured environment.
  • Understanding of classic unstructured data applications and next-generation analytics and web frameworks.
  • Preparation and/or delivery of technical product and architecture presentations to customers and trainees.
  • Knowledge of virtualization, high-performance networking and enterprise security.
  • Excellent verbal and written communication skills

Apply