1

Amazon Computer Science Internship Jobs in Atlanta, GA

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field

... interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

... interns on the team. • Other duties as assigned. Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

... interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

... Computer Science etc. * Passionate about using data and analytics to solve problems and eager to learn about payments systems and the payments processing market. * Internship or other experience in ...

New

... Computer Science etc. * Passionate about using data and analytics to solve problems and eager to learn about payments systems and the payments processing market. * Internship or other experience in ...

New

Digital Analyst Internships

Atlanta, GA · On-site

$94K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Lawrenceville, GA · On-site

$85K - $100K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Kennesaw, GA · On-site

$91K - $107K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... in Computer Science, Data Science, Electrical Engineering, Applied Math, or related field. • ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

next page

Showing results 1-20

Amazon Computer Science Internship information

See Atlanta, GA salary details

$12

$24

$37

How much do amazon computer science internship jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for amazon computer science internship in Atlanta, GA is $24.44, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $27.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Computer Science Intern, and why are they important?

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

What is an Amazon Computer Science Internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.

What types of projects do Amazon Computer Science Interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.
What are popular job titles related to Amazon Computer Science Internship jobs in Atlanta, GA? For Amazon Computer Science Internship jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Amazon Computer Science Internship jobs in Atlanta, GA look for? The top searched job categories for Amazon Computer Science Internship jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Amazon Computer Science Internship jobs? Cities near Atlanta, GA with the most Amazon Computer Science Internship job openings:
Infographic showing various Amazon Computer Science Internship job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 8% Part Time, 3% Contract, and 1% Summer. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $50,840 per year, or $24.4 per hour.
Agentic AI, AI & Data Science Engineer

Agentic AI, AI & Data Science Engineer

Deloitte

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 7/31/2026.
Work you'll do
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Working within an engagement team, your responsibilities include, among others:
  • Managing day-to-day interactions with executive clients, stakeholders, and sponsors
  • Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
  • Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
  • Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables
  • Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
  • Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan
  • Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
  • Developing and maintaining communication with key project stakeholders and decision makers
The team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required:
  • 4+ years of experience delivering AI/ML solutions, with at least 1 year focused on Generative AI, Agentic AI or multi-agent systems
  • 2+ years of hands-on experience building AI/ML solutions using Python
  • 1+ years of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) to include:
Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads);
and/or
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment; Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS;
and/or
GCP: Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)
  • 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
Preferred:
  • Prior consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Presentation skills with a high degree of comfort with both large and small audiences
  • Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
  • Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
  • Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture
  • Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development
  • Experience with API design, microservices architecture, and event-driven systems
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition code: 359035
Job ID 359035

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom