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Internship Aws Python Developer Jobs in Montgomery, IL

PB consulting

Senior AI Solutions Architect

Roselle, IL · On-site

This is a hands-on technical leadership role focused on architecture, Python development, AWS, and ... Provide technical direction, mentor engineers, and lead design and code reviews. *Design and ...

PB consulting

Senior AI Solutions Architect

Lisle, IL · On-site

This is a hands-on technical leadership role focused on architecture, Python development, AWS, and ... Provide technical direction, mentor engineers, and lead design and code reviews. *Design and ...

PB consulting

Senior AI Solutions Architect

Itasca, IL · On-site

This is a hands-on technical leadership role focused on architecture, Python development, AWS, and ... Provide technical direction, mentor engineers, and lead design and code reviews. *Design and ...

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Internship Aws Python Developer information

See Montgomery, IL salary details

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$58

$85

How much do internship aws python developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship aws python developer in Montgomery, IL is $58.33, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $66.25 per hour, depending on experience, location, and employer.

What does an AWS Python Developer intern do?

An AWS Python Developer Intern assists with designing, developing, and maintaining cloud-based applications using Amazon Web Services (AWS) and the Python programming language. Their responsibilities typically include writing and testing code, automating cloud infrastructure, and collaborating with senior developers to implement scalable solutions. Interns may also help with debugging, monitoring, and optimizing existing applications, as well as learning best practices for cloud security and deployment. This role provides valuable hands-on experience with both cloud computing and Python development in a real-world business environment.

What are the key skills and qualifications needed to thrive as an AWS Python Developer intern?

To thrive as an Internship AWS Python Developer, you need a solid understanding of Python programming, basic knowledge of cloud computing concepts, and familiarity with AWS services, ideally supported by relevant coursework or certifications. Experience with tools like AWS Lambda, S3, EC2, and version control systems (e.g., Git) is often expected. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These competencies are crucial for building scalable cloud solutions, adapting to evolving technologies, and contributing successfully within a collaborative development environment.

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

As an AWS Python Developer intern, you can expect to work on projects that involve building, testing, and deploying cloud-based applications using AWS services such as Lambda, S3, and DynamoDB. Your daily tasks may include writing Python scripts for automation, assisting with API integrations, and collaborating with senior developers to solve real-world business problems. Interns often work within agile teams, gaining exposure to cloud architecture, DevOps practices, and continuous integration/continuous deployment (CI/CD) pipelines. This hands-on experience is valuable for developing both technical and teamwork skills in a dynamic, fast-paced environment.

What is the difference between Internship Aws Python Developer vs Cloud Engineer?

AspectInternship Aws Python DeveloperCloud Engineer
Required SkillsPython, AWS basics, scripting, basic cloud conceptsAdvanced cloud architecture, AWS services, scripting, automation
Experience LevelEntry-level, internship experienceMid to senior level, professional experience
Work EnvironmentInternship programs, training projectsFull-time roles, enterprise cloud environments
CertificationsOptional, AWS Cloud Practitioner or similarRequired or preferred, AWS Solutions Architect, DevOps certifications

The Internship Aws Python Developer role is an entry-level position focused on learning AWS and Python scripting within a training environment. In contrast, a Cloud Engineer is a more advanced role involving designing, implementing, and managing cloud infrastructure. While both roles require knowledge of AWS, the Cloud Engineer position demands more experience and certifications. The internship provides a stepping stone into cloud careers, whereas the Cloud Engineer role is a full-time professional position.

Internship Aws Python Developer jobs near you
Infographic showing various Internship Aws Python Developer job openings in Montgomery, IL as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 8% Part Time, 6% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $121,320 per year, or $58.3 per hour.

Senior AI Solutions Architect

Winfield, IL • On-site

PB consulting
See more jobs at PB consultingexternal

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on architecture, Python development, AWS, and production AI applications.

Responsibilities

*Own the end-to-end architecture and technical design of LLM and Generative AI solutions.
*Translate business requirements into scalable solution architectures, technical plans, and development tasks.
*Define architecture standards, integration patterns, technical decisions, and engineering best practices.
*Provide technical direction, mentor engineers, and lead design and code reviews.
*Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks.
*Architect and implement LLM applications, LangChain workflows, and RAG pipelines.
*Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation.
*Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or similar technologies.
*Establish monitoring and evaluation for quality, relevance, latency, reliability, safety, and cost.
*Design secure, scalable, and resilient AI services on AWS, including Lambda, EC2, S3, EKS, and RDS.
*Partner with DevOps/MLOps teams on CI/CD, infrastructure automation, observability, incident response, and production support.
*Ensure solutions meet enterprise requirements for security, governance, availability, scalability, fault tolerance, and operational readiness.

Required Qualifications

*Extensive software engineering experience with technical leadership responsibilities.
*Strong hands-on Python and backend development experience.
*Experience with FastAPI, Flask, or comparable frameworks.
*Proven experience delivering production LLM/Generative AI and RAG applications.
*Strong knowledge of LLM architecture, prompt engineering, embeddings, vector databases, retrieval, re-ranking, and evaluation.
*Experience with OpenAI, Anthropic, Hugging Face, LangChain, or similar platforms/frameworks.
*Strong AWS cloud architecture and deployment experience.
*Experience with microservices, APIs, cloud security, scalability, and distributed systems.
*Strong experience leading architecture/design reviews, code reviews, technical planning, and complex engineering initiatives.
*Ability to mentor engineers and influence technical decisions without formal management authority.

Preferred Skills

*Experience with MLOps, CI/CD, infrastructure as code, and observability.
*Experience with enterprise AI governance, security, and responsible AI practices.
*Experience optimizing AI applications for performance, reliability, and cost.
*Experience working with cross-functional application, data, cloud, security, DevOps, and platform teams.

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