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Internship Applied Intelligence Jobs in Virginia

UX Designer (TS/SCI)

Herndon, VA · On-site

$86K - $139K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Knowledge and applied use of Design Thinking principles. * Recent experience with Figma/FigJam as ...

UX Designer (TS/SCI)

Herndon, VA · On-site

$127K - $139K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Knowledge and applied use of Design Thinking principles. * Recent experience with Figma/FigJam as ...

UX Designer (TS/SCI)

Herndon, VA · On-site

$127K - $139K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Knowledge and applied use of Design Thinking principles. * Recent experience with Figma/FigJam as ...

UX Designer (TS/SCI)

Herndon, VA · On-site

$127K - $139K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Knowledge and applied use of Design Thinking principles. * Recent experience with Figma/FigJam as ...

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Knowledge and applied use of Design Thinking principles. * Recent experience with Figma/FigJam as ...

Showing results 41-48

Internship Applied Intelligence information

What is an internship in Applied Intelligence?

An Internship in Applied Intelligence is a temporary position for students or recent graduates to gain hands-on experience working with data analytics, artificial intelligence, and machine learning technologies. Interns typically assist in analyzing large datasets, developing AI models, and supporting business decision-making through data-driven insights. This role allows individuals to apply theoretical knowledge in real-world scenarios while working under the guidance of experienced professionals. Such internships are valuable for building practical skills and preparing for a career in data science or AI-related fields.

What types of projects can I expect to work on as an Applied Intelligence intern, and how will I collaborate with other team members?

As an Applied Intelligence intern, you will typically work on data-driven projects such as developing predictive models, analyzing large datasets, or supporting the implementation of AI solutions for real-world business challenges. You’ll often collaborate with data scientists, engineers, and business analysts, participating in brainstorming sessions, stand-up meetings, and code reviews. Interns are encouraged to contribute their ideas and may also assist in preparing presentations or reports for stakeholders. This collaborative and fast-paced environment offers valuable exposure to both technical tasks and strategic problem-solving.

What are the key skills and qualifications needed to thrive as an internship in Applied Intelligence, and why are they important?

To thrive in an Internship Applied Intelligence role, you typically need strong analytical thinking, problem-solving abilities, and a background in data science, statistics, or computer science, often supported by ongoing or completed relevant education. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is commonly required. Strong communication, teamwork, and adaptability help interns effectively present insights and collaborate with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful patterns from complex data and contributing valuable recommendations to business decisions.

What is the difference between Internship Applied Intelligence vs Data Analyst Intern?

AspectInternship Applied IntelligenceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentTech companies, AI-focused teamsBusiness, finance, tech sectors
Employer & Industry UsageAI and machine learning firms, tech giantsCorporations, consulting firms, startups
Common Search & Comparison IntentUnderstanding roles in AI internshipsExploring data analysis internship opportunities

Internship Applied Intelligence focuses on AI and machine learning projects, requiring knowledge of programming and AI concepts. In contrast, Data Analyst Internships emphasize data interpretation, statistical analysis, and business insights. Both roles are valuable entry points in tech and data-driven industries, but they target different skill sets and industry applications.

What are the most commonly searched types of Applied Intelligence jobs in Virginia?

The most popular types of Applied Intelligence jobs in Virginia are:

Lead Software Engineer, Back End (Java, JavaScript, Python, Go, Spring, Kafka, CI/CD, Claude Code)

Capital One National Association

Mclean, VA • On-site

$197 - $225/hr

Other

Posted 6 days ago


Job description

Lead Software Engineer, Back End (Java, Javascript, Python, Go, Spring, Kafka, CI/CD, Claude Code)

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 a highly skilled and visionary Lead Back End Software Engineer who is passionate about Artificial Intelligence, Machine Learning, and building intelligent solutions with emerging technologies. As a Capital One Lead, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

The Team:

The Marketing and Messaging organization focuses on engineering hyper-personalized, high-impact consumer experiences across omnichannel platforms. The team builds scalable platforms that deliver omnichannel messages to customers and prospects.

What You’ll Do:
  • Lead a portfolio of diverse technology projects and guide a team of developers with deep experience in distributed microservices and full stack systems to create solutions

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

  • Direct the design, development, testing, and implementation of technical solutions using AI technologies, large language models (LLMs), and cloud infrastructure, ensuring sound data design practices are applied

  • Leverage a diverse technical stack including Java, JavaScript, Python, and Go, alongside modern cloud infrastructure, and advanced AWS ecosystems to deliver high-performance software solutions

  • Champion the growth of our engineering community through active mentorship, while driving excellence in delivery by conducting rigorous code reviews to ensure technical solutions are performant and maintainable

Basic Qualifications:
  • Bachelor’s Degree

  • At least 4 years of professional software engineering experience (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: Java, JavaScript, Python, Go, TypeScript, or SQL

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

  • 4+ years of experience working with various open source frameworks

  • 4+ years of experience leading technical direction and executing large scale projects across multiple engineering teams

  • 2+ years of experience in Agile practices

  • 1+ years of experience working with big data ETL using Dataflow, AWS Glue or Databricks

  • 1+ years of experience utilizing Generative AI coding tools and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity

  • 1+ years of experience in prompt engineering or developing features enhanced by Artificial Intelligence

  • Experience utilizing advanced AI tooling and LLM capabilities to drive engineering productivity and innovation

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

McLean, VA: $197,300 - $225,100 for Lead Software Engineer
New York, NY: $215,200 - $245,600 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 the Capital 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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