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Aws Ai Practitioner Jobs (NOW HIRING)

CYNET SYSTEMS

Gen AI Developer

Atlanta, GA · On-site

$48/hr

AWS Certified Cloud Practitioner, AWS Certified AI Practitioner, AWS Certified Solutions Architect - Associate. Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc ...

Modus Create

AWS Partnership Manager

Concord, NC · Remote

Ability to pass the AWS AI Practitioner exam (extra bonus if already have the certification!) * A passion for staying ahead of the curve - you should be the first person in the room to know what was ...

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Aws Ai Practitioner information

How much do AWS AI practitioners make?

AWS AI practitioners typically earn between $80,000 and $150,000 annually, depending on experience, certifications, and location. Salaries can vary based on the complexity of projects and the level of expertise in AWS services like SageMaker and Rekognition.

What jobs can I get with AWS AI practitioner certification?

AWS AI Practitioner certification prepares individuals for roles such as AI/ML developer, data scientist, machine learning engineer, or AI solutions architect. These roles involve designing, implementing, and managing AI and machine learning solutions using AWS services like SageMaker and Rekognition, often requiring knowledge of cloud computing and data analysis.

What is an AWS AI Practitioner job?

An AWS AI Practitioner is responsible for designing, implementing, and optimizing artificial intelligence and machine learning solutions using AWS services. They work with tools like Amazon SageMaker, AWS Lambda, and AI-driven analytics to build intelligent applications. Their role includes data preprocessing, model training, and deploying scalable AI solutions in the cloud. Additionally, they collaborate with data scientists, engineers, and business stakeholders to drive AI adoption and innovation within an organization.

What are some common challenges faced by AWS AI Practitioners in their daily work?

AWS AI Practitioners often encounter challenges such as selecting the most suitable AWS services for specific machine learning use cases, efficiently managing and preprocessing large datasets, and staying updated with the rapidly evolving AWS ecosystem. They are also tasked with optimizing model performance to meet both cost and latency requirements while ensuring security and compliance within cloud operations. Collaborating closely with data scientists, software engineers, and business stakeholders is common, making cross-functional communication a key part of the role. Overcoming these challenges requires a balance of technical acumen, continuous learning, and strong teamwork skills.

What are the key skills and qualifications needed to thrive in the Aws Ai Practitioner position, and why are they important?

To thrive as an AWS AI Practitioner, you need a solid understanding of cloud computing, machine learning concepts, and practical experience using AWS AI/ML services like SageMaker. Familiarity with programming languages such as Python, experience with data analysis tools, and an AWS certification (like AWS Certified Machine Learning – Specialty) are highly valued. Strong problem-solving skills, effective communication, and a proactive approach to learning help practitioners collaborate across teams and adapt to evolving technologies. These skills are crucial to successfully design, deploy, and optimize AI solutions in cloud environments for real-world business challenges.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI architect, senior machine learning engineer, or AI director, often requiring advanced skills in machine learning, deep learning, and cloud platforms like AWS. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or organizations investing heavily in AI development.

Is AWS certified AI practitioner in demand?

AWS Certified AI Practitioner is in demand as organizations increasingly adopt cloud-based AI solutions and seek professionals with cloud and AI skills. Certification demonstrates proficiency in AWS AI services like SageMaker and Rekognition, making certified individuals valuable for roles involving AI development and deployment on AWS platforms.
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Aws Ai Practitioner jobs near you
Infographic showing various Aws Ai Practitioner job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.
AWS AI Solutions Architect / AI Engineering Advisor

AWS AI Solutions Architect / AI Engineering Advisor

Aligned Technology Group

Baltimore, MD • On-site, Remote

$62.50 - $82.50/hr

Contractor

Posted 3 days ago

Job description

About Aligned Technology Group (Aligned TG)
Aligned TG empowers organizations to harness the full potential of AWS cloud technologies, driving secure, scalable, and sustainable business outcomes. We approach every challenge with grit, embracing a results-driven mindset to ensure our clients achieve their goals. Our mission is to deliver unparalleled cloud advisory, engineering, financial management, and security services while continuously learning and innovating to stay ahead of industry advancements. Guided by a culture of collaboration and humility-where being "Team AWSome" means leaving egos at the door-we tailor our services to meet the unique needs of technology-enabled startups, mid-market, and enterprise clients. With a focus on execution, agility, and excellence, we are the trusted partner businesses rely on to navigate the complexities of cloud modernization and achieve their strategic objectives.
Position Overview
Aligned Technology Group is seeking an AI Solutions Architect to help customers evaluate, design, and implement AI and Generative AI solutions on AWS. This role combines strategic consulting with hands-on architecture and engineering to deliver AI-driven business outcomes.
Responsibilities
  • Assess business use cases for AI, machine learning, and Generative AI
  • Develop AI adoption roadmaps and governance frameworks
  • Design AI architectures using AWS AI services such as Bedrock, SageMaker, and Amazon Q
  • Build proof-of-concept and pilot AI solutions
  • Develop Retrieval-Augmented Generation (RAG) architectures and knowledge bases
  • Implement AI-powered automation and workflow solutions
  • Establish responsible AI practices, guardrails, and governance controls
  • Conduct workshops, training sessions, and knowledge transfer activities
  • Collaborate with business and technical stakeholders to identify AI opportunities

Qualifications
  • 5+ years of cloud architecture, AI, machine learning, or data engineering experience
  • Hands-on experience with Generative AI and Large Language Models
  • Experience with Amazon Bedrock, SageMaker, and AI application development
  • Knowledge of RAG architectures, vector databases, and AI governance
  • Strong customer-facing consulting and communication skills
  • AWS Solutions Architect certification preferred
  • AWS AI Practitioner or AWS Machine Learning Specialty preferred

Apply