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Entry Level Aws Ai Practitioner Jobs (NOW HIRING)

i3

Principal Data Scientist

Washington, DC · On-site

... AWS AI Practitioner Foundational o AWS Machine Learning Specialty o Azure Cosmos DB Developer ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

Amazon

Sr. Applied Science , AWS Agentic AI

Santa Clara, CA · On-site

$143K - $189K/yr

AWS, the world-leading provider of cloud services, has fostered the creation and growth of ... Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution ...

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How much do entry level aws ai practitioner jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level aws ai practitioner in the United States is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.15 per hour, depending on experience, location, and employer.

What is an entry level AWS AI practitioner?

Entry Level AWS AI Practitioners are professionals who are just beginning their careers in artificial intelligence (AI) and cloud computing, specifically using Amazon Web Services (AWS). They work with foundational AWS AI and machine learning (ML) services to help organizations implement basic AI solutions. Their responsibilities may include data preparation, training simple models, deploying AI services, and supporting more experienced data scientists and engineers. This role often requires knowledge of AWS tools like SageMaker, Rekognition, or Lex, and a basic understanding of programming and data analysis. Entry level practitioners typically work under supervision while gaining experience and AWS certifications.

What are the key skills and qualifications needed to thrive as an entry level AWS AI practitioner?

To thrive as an Entry Level AWS AI Practitioner, you need a foundational understanding of cloud computing, basic AI/ML concepts, and familiarity with programming languages such as Python, often supported by an AWS Cloud Practitioner or AWS Certified Machine Learning – Specialty certification. Experience with AWS services like SageMaker, Lambda, and S3, as well as basic data analysis tools, is typically required. Strong problem-solving skills, eagerness to learn, and effective communication set candidates apart in this role. These skills and qualities are vital for successfully implementing AI solutions on AWS and collaborating with technical teams in a fast-evolving environment.

What are some common challenges faced by entry level AWS AI practitioners, and how can they be addressed?

Entry Level AWS AI Practitioners often encounter challenges such as understanding complex cloud-native AI tools, managing resource costs, and collaborating effectively with cross-functional teams. Navigating AWS services like SageMaker, Lambda, and S3 can be overwhelming without hands-on practice. To overcome these obstacles, it's helpful to take advantage of AWS documentation, participate in team knowledge-sharing sessions, and seek mentorship from more experienced colleagues. Regularly working on small-scale projects and asking questions during code reviews can also accelerate skill development and integration into the team.

What is the difference between Entry Level Aws Ai Practitioner vs Entry Level Aws Data Analyst?

AspectEntry Level Aws Ai PractitionerEntry Level Aws Data Analyst
CertificationsAWS Certified Machine Learning – Specialty, AWS Certified Cloud PractitionerAWS Certified Data Analytics – Specialty, AWS Certified Cloud Practitioner
Work EnvironmentDeveloping AI models, deploying machine learning solutions on AWSAnalyzing data sets, generating reports, visualizing data on AWS
Industry UsageAI and machine learning projects, AI-driven applicationsBusiness intelligence, data reporting, data-driven decision making

While both roles require AWS foundational knowledge and cloud certifications, the Entry Level Aws Ai Practitioner focuses on developing and deploying AI models, whereas the Entry Level Aws Data Analyst specializes in analyzing data and generating insights. The roles differ in their core tasks but share a common foundation in AWS cloud services.

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Entry Level Aws Ai Practitioner jobs near you
Infographic showing various Entry Level Aws Ai Practitioner job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 64% In-person, 7% Hybrid, and 29% Remote job distribution, with an average salary of $41,232 per year, or $19.8 per hour.

Principal Data Scientist

i3

Washington, DC • On-site

Full-time

Posted 4 days ago

Job description

Job Openings >> Principal Data Scientist
Principal Data Scientist
Summary
Title: Principal Data Scientist ID: 1177 Work Location: Washington, DC Clearance Required: Public Trust
More about this job >
Description
Principal Data Scientist with 10+ years of experience in IT systems
US Citizenship is REQUIRED
This is a five month assignment
Must be experienced in leading AI strategy and machine learning development, preferably with experience with fusing commercially available data with agency data to enhance predictive analytics. Proven track record of architecting scalable Machine Learning Ops pipelines and mentoring high-performing teams to deliver innovative AI systems. Expert in translating complex business problems into revenue-generating, data-driven solutions.
CORE COMPETENCIES Languages: Python, R, SQL, Scala, C++ Machine Learning: Deep Learning, NLP, Computer Vision, Predictive Modeling, Reinforcement Learning Big Data & Cloud: AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake MLOps & Data Viz: Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Tableau, Power BI
EDUCATION
Bachelor of Science in Statistics and Mathematics or other related field o preferred Master of Science in Computer Science (Machine Learning Focus)
Relevant AWS or Microsoft certifications (Examples below)
o  AWS Data Engineer Associate
o AWS Machine Learning Engineer Associate
o AWS AI Practitioner Foundational
o AWS Machine Learning Specialty
o Azure Cosmos DB Developer Specialty
o Azure Data Engineer Associate
o Azure Data Fundamentals
o Azure Database Administrator Associate
o Fabric Analytics Engineer Associate
o PowerBI Data Analyst Associate
o Azure AI Engineer Associate
o Azure AI Fundamentals
o Azure Data Scientist Associate
o Dynamics 365 Customer Insights (Data) Specialty
o Oracle Data Integrator o Oracle Certified Associate
o Oracle Certified Professional
o Python (Entry Level / Associate / Professional) 
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