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Temporary Aws Ai Practitioner Jobs (NOW HIRING)

United Airlines

AWS Generative AI Engineer

Columbia, SC · Hybrid

$60 - $78.75/hr

AWS AI Practitioner * Experience with MLOps CICD and infrastructure as code tools Terraform CloudFormation * Familiarity with other LLM providers such as Open AI Meta Llama Mistral or Cohere Life At ...

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 ...

Perficient

Senior AWS Agentic AI Engineer

Saint Louis, MO · On-site

$51.75 - $66.75/hr

AWS Certified AI Practitioner * Experience implementing enterprise-scale AI governance, security, observability, and Responsible AI frameworks. * Strong background in cloud-native architecture ...

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Temporary Aws Ai Practitioner information

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$41.5K

$130.3K

$200K

How much do temporary aws ai practitioner jobs pay per year?

As of Jul 30, 2026, the average yearly pay for temporary aws ai practitioner in the United States is $130,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What types of projects do Temporary AWS AI Practitioners typically work on, and how do they collaborate with other team members?

Temporary AWS AI Practitioners are often brought in to support short-term projects such as deploying machine learning models, automating workflows, or assisting with data migration to AWS cloud services. They typically collaborate closely with data scientists, cloud engineers, and business stakeholders to understand requirements and implement AI solutions using AWS tools. Daily tasks may include configuring AWS AI services, optimizing model performance, and documenting solutions for handover. Effective communication and adaptability are key, as these practitioners must quickly integrate into existing teams and deliver results within tight timelines.

What are Temporary AWS AI Practitioners?

Temporary AWS AI Practitioners are professionals who are hired on a short-term or contract basis to work with Amazon Web Services (AWS) artificial intelligence (AI) tools and services. They typically assist organizations with implementing, managing, or optimizing AI and machine learning solutions using AWS technologies. This role often involves tasks such as building machine learning models, integrating AWS AI services into applications, and providing technical expertise for data-driven projects. Temporary positions can range from a few weeks to several months and are ideal for organizations needing specialized AI skills for specific projects.

What is the difference between Temporary Aws Ai Practitioner vs Cloud Data Engineer?

AspectTemporary Aws Ai PractitionerCloud Data Engineer
CredentialsAWS certifications, AI/ML knowledgeAWS certifications, data engineering skills
Work EnvironmentProject-based, AI/ML-focusedData pipelines, cloud infrastructure
Employer & IndustryTech companies, AI startupsLarge enterprises, cloud service providers
Search & Comparison IntentUnderstanding AI-specific roles in AWSData infrastructure roles in cloud

The Temporary Aws Ai Practitioner primarily focuses on deploying AI and machine learning models using AWS services, often in a project-based environment. In contrast, a Cloud Data Engineer concentrates on building and maintaining data pipelines and infrastructure within cloud platforms. While both roles require AWS certifications, the Ai Practitioner emphasizes AI/ML expertise, whereas the Data Engineer emphasizes data architecture skills. Understanding these differences helps employers and job seekers target the right skills and roles in the cloud industry.

What are the key skills and qualifications needed to thrive as a Temporary AWS AI Practitioner, and why are they important?

To thrive as a Temporary AWS AI Practitioner, you need a solid understanding of machine learning principles, cloud computing, and AWS services, typically supported by experience or certification like AWS Certified Machine Learning – Specialty. Proficiency in using AWS AI/ML tools such as SageMaker, Rekognition, and Lambda, as well as programming languages like Python, is essential. Strong problem-solving skills, adaptability, and effective communication set top practitioners apart. These skills ensure the successful deployment of AI solutions on AWS, enabling organizations to efficiently leverage cloud-based intelligence for business value.
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Temporary Aws Ai Practitioner jobs near you
Infographic showing various Temporary Aws Ai Practitioner job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $130,295 per year, or $62.6 per hour.

AWS AI Solutions Architect / AI Engineering Advisor

Aligned Technology Group

Baltimore, MD • On-site, Remote

$62.50 - $82.50/hr

Contractor

Re-posted 8 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