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Ai Lab Jobs (NOW HIRING)

SHI

Solutions Architect - AI Lab

Piscataway, NJ · On-site +1

$64.25 - $84.50/hr

Job Summary The Solutions Architect for the AI Lab will support the internal development, evaluation, and operationalization of AI-focused solutions across Advanced Growth Technologies. This role ...

SHI International

NJ · On-site

$150 - $250/hr

The Solutions Architect for the AI Lab will support the internal development, evaluation, and operationalization of AI-focused solutions across Advanced Growth Technologies. This role will serve as a ...

SHI International

NJ · On-site

$100 - $250/hr

The Solutions Engineer for the AI Lab will support the development, evaluation, and delivery of AI-focused infrastructure and platform solutions across Advanced Growth Technologies. This role serves ...

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure, and run the day-to-day operations of the on-site AI Lab supporting the AI & Autonomy division. You ...

SHI

Solutions Engineer - AI Lab

Piscataway, NJ · On-site

This position partners closely with AI Lab leadership, Solutions Architects, sales teams, engineering, and technology partners to support solution development, technical validation, customer ...

Thinkbrg

AI Lab Infrastructure Engineer

$110K - $144K/yr

Following the successful completion of Phase 01 (physical Ai Lab build-out), this role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to ...

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure, and run the day-to-day operations of the on-site AI Lab supporting the AI & Autonomy division. You ...

Berkeley Research Group

AI Lab Infrastructure Engineer

$110K - $144K/yr

Following the successful completion of Phase 01 (physical Ai Lab build-out), this role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to ...

Stationed

AI Engineer - AI Lab

Miami, FL · On-site

$80 - $120/hr

STATIONED is embedded inside some of the leading VC firms in the country, running an AI Lab where we spend our days building, experimenting, and shipping fast. This is a small team of swiss army ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their ...

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How much do ai lab jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai lab in the United States is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $27.88 per hour, depending on experience, location, and employer.

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.
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Infographic showing various Ai Lab job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $52,516 per year, or $25.2 per hour.

Solutions Architect - AI Lab

SHI International Corp.

Piscataway, NJ • On-site

$64.25 - $84.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next. But the heartbeat of SHI is our employees - all 7,000 of them. If you join our team, you'll enjoy:
  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
  • Continuous professional growth and leadership opportunities.
  • Health, wellness, and financial benefits to offer peace of mind to you and your family.
  • World-class facilities and the technology you need to thrive - in our offices or yours.

Job Summary
The Solutions Architect for the AI Lab will support the internal development, evaluation, and operationalization of AI-focused solutions across Advanced Growth Technologies. This role will serve as a technical advisor and hands-on solution designer for AI solutions, helping translate business needs into scalable lab offerings, repeatable architectures, and practical enablement materials for SHI teams, while implementing these solutions within the SHI AI Lab.
This position will partner closely with AI Lab leadership, PMO, engineering, and partner teams to define and deploy solutions, document technical designs, and help mature AI Lab capabilities. The role is internally focused, with an emphasis on solution standardization, technical readiness, partner alignment, and enabling SHI teams to confidently position and deliver AI Lab offerings.
Role Description
Internal Solution Design
  • Design scalable AI Lab solution architectures that align with SHI offerings, customer use cases, partner capabilities, and internal delivery standards.

AI Lab Enablement
  • Develop internal technical enablement content, reference architectures, solution briefs, and guidance materials that help sales, engineering, and delivery teams understand and position AI Lab offerings.

Technical Documentation
  • Create and maintain solution documentation, technical requirements, Bills of Materials (BOMs), design assumptions, implementation handoff materials, and Statement of Work (SOW) inputs for AI Lab solutions.

Cross-Functional Collaboration
  • Partner with AI Lab, PMO, Product Management, Sales Enablement, Engineering, and Partner Development teams to align solution design, readiness, and delivery expectations.

Partner and Technology Alignment
  • Support evaluation of AI ecosystem partners, platforms, infrastructure components, and solution patterns to determine fit for AI Lab use cases.

Practice Development
  • Help establish repeatable standards, templates, governance, and solution packaging that improve consistency, scalability, and quality across AI Lab offerings.

Technical Advisory
  • Provide internal technical guidance on AI infrastructure, data center architecture, software platforms, deployment considerations, and emerging AI technology trends.

Operational Readiness
  • Support intake, prioritization, solution scoping, and handoff processes to ensure AI Lab opportunities are clearly defined and ready for execution.

Behaviors and Competencies
  • Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
  • Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
  • Documentation: Independently produces and maintains documentation for routine processes; ensures accuracy and consistency.
  • Leadership: Can proactively seek out leadership roles, initiate team projects, and contribute to team development and success.
  • Problem Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
  • Teamwork: Can lead a team effectively, facilitate cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.
  • Self - Motivation: Can proactively seek out challenges, initiate self-development projects, and contribute to personal or professional innovative ideas.

Skill Level Requirements
  • Expert knowledge of Linux, Kubernetes, and orchestration.
  • Knowledge of AI infrastructure, networking, and storage.
  • Ability to design data center infrastructures that include hybrid cloud, hyper-converged, software-defined data center (SDDC), Infrastructure/Platform as a Service (IaaS/PaaS), automation, containerization, and Data Center Management Platforms - Intermediate.
  • Strong knowledge of virtualization technologies, hypervisors, server virtualization, Software Defined Data Center (SDDC), containerization, and automation - Intermediate.
  • Ability to effectively communicate and sell complex technical products or services by understanding customer needs, articulating value propositions, and providing technical expertise to support the sales process - Intermediate.
  • Expertise in mainstream technologies including Dell Technologies, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, and Nutanix - Intermediate.
  • Experience with Disaster Recovery, Business Continuity, and High Availability Solutions (backup/recovery, data protection, mirroring, active/standby, active/active, clustering) - Intermediate.

Preferred Skills
  • Certifications in NVIDIA (e.g., DGX Certified) or relevant vendor technologies.
  • Experience in enterprise data center technologies and solutions.
  • Knowledge and experience in data center power and cooling technologies.
  • Familiarity with AI software stacks (e.g., TensorFlow, PyTorch, Kubernetes for AI).
  • Experience with cloud-hybrid AI deployments or large-scale data center projects.
  • Knowledge of the AI Factory concept, NCPs, and AI Cloud Providers.
  • Strong problem-solving skills and a customer-centric mindset.

Other Requirements
  • Experience in AI labs, data center environments, or advanced technology platforms.
  • Strong self-directed learning mindset with the ability to stay current in rapidly evolving AI, infrastructure, and platform ecosystems.
  • Excellent communication, presentation, organizational, and time-management skills.
  • Willingness to work flexible schedules, including evenings and weekends, as project needs require.
  • Ability to travel up to 15% for customer, partner, and industry engagements.
  • Advanced certifications, published research, or a strong record of open-source contributions in AI or related fields are a plus.

The estimated annual pay range for this position is $150,000 - $250,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity - M/F/Disability/Protected Veteran Status
SHI International logo

About SHI International

Sourced by ZipRecruiter

SHI International, located in Somerset, NJ, US, is a global provider of technology products and services. Operating in the Information Technology and Services industry, SHI offers comprehensive IT solutions ranging from software and hardware procurement, deployment planning, cloud-based services, IT asset management, and more to a diverse client base. Founded in 1989 by Thai Lee, the company has grown exponentially, amassing a deep pool of expertise and earning recognition as one of North America's top 15 largest IT solutions providers. Driven by a mission to help customers select, deploy, and manage technologies that drive productivity, profitability, and innovation, SHI cherishes its reputation as a cost-effective, customer-centric technology partner.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Somerset, NJ, US

Year founded

1989

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