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A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA · On-site

$85K - $105K/yr

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development ... Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or ...

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How much do internship aws ai jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship aws ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an AWS AI internship?

An AWS AI Internship is a temporary position designed for students or recent graduates to gain hands-on experience working with Amazon Web Services (AWS) in the field of artificial intelligence. Interns typically work on projects involving machine learning, data analysis, or AI-driven solutions using AWS platforms and tools. The internship provides exposure to real-world cloud computing environments, mentorship from experienced professionals, and opportunities to develop technical and professional skills. It's an excellent way for aspiring AI professionals to build their resumes and expand their knowledge of AWS technologies.

What types of projects can I expect to work on during an AWS AI internship?

As an AWS AI intern, you'll typically collaborate on projects involving machine learning model development, data preprocessing, and deploying AI solutions on AWS platforms. You may work with teams to build prototypes, automate workflows, or contribute to research tasks that support new AI services. Interns often have opportunities to interact with product managers, engineers, and data scientists, gaining exposure to real-world applications and the end-to-end AI development lifecycle. This hands-on experience is designed to help you build practical skills and make a meaningful impact within your team.

What are the key skills and qualifications needed to thrive as an AWS AI intern, and why are they important?

To thrive as an AWS AI Intern, you need a solid grounding in computer science, programming (Python or Java), and foundational knowledge of machine learning concepts, often supported by relevant coursework or a degree in a related field. Familiarity with AWS services (like S3, EC2, SageMaker), machine learning frameworks (such as TensorFlow or PyTorch), and cloud computing tools is typically expected. Strong analytical thinking, problem-solving ability, and effective communication skills help interns stand out when collaborating on projects and presenting findings. These skills are crucial for contributing to real-world AI solutions, adapting quickly to new technologies, and maximizing learning during the internship.

What is the difference between Internship Aws Ai vs Data Analyst?

AspectInternship Aws AiData Analyst
Required CredentialsBasic knowledge of AWS, AI concepts, some programming skillsBachelor's in Data Science, Statistics, or related field; often some certifications
Work EnvironmentTech companies, cloud service providers, AI startupsBusiness, finance, healthcare, and tech industries
Employer & Industry UsageUsed in cloud computing, AI development, and machine learning projectsUsed for data interpretation, reporting, and decision-making

Internship Aws Ai focuses on gaining hands-on experience with AWS cloud services and AI tools, often in tech environments. Data Analysts analyze data to support business decisions. While both roles involve data and technical skills, internships are more learning-oriented, whereas Data Analysts are more focused on data interpretation and reporting.

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Infographic showing various Internship Aws Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Lead Software Engineer, Full Stack (Java, GO, AWS, AI) (Enterprise Platforms Technology)

Capital One

Richmond, VA • On-site

Full-time

Posted 28 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 174 rated banks

Job description

Lead Software Engineer, Full Stack (Java, GO, AWS, AI) (Enterprise Platforms Technology)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.

What You'll Do:

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in software engineering (Internship experience does not apply)

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • Master's Degree

  • 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

  • 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

  • 4+ years of experience in open source frameworks

  • 1+ years of people management experience

  • 2+ years of experience in Agile practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Lead Software Engineer


Plano, TX: $179,400 - $204,700 for Lead Software Engineer


Richmond, VA: $179,400 - $204,700 for Lead Software Engineer









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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