ZipRecruiter

Log In

1

Aws Ai Jobs (NOW HIRING)

Merican

AWS AI Engineer

Herndon, VA · On-site

AWS AI Engineer Location: Herndon, VA Work Mode: Onsite About the Role We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems.

Accord Technologies Inc.

Lead AWS AI Engineer

Piscataway, NJ · On-site

$104K - $137K/yr

Lead AWS AI Engineer Location: Piscataway, NJ Experience level: min 10+ years Position type: W2 position Start Date - Immediate Mandatory skills: AWS AI stack, Amazon Transcribe, Amazon Comprehend ...

Cynet Systems

FullStack AWS AI Engineer

Malvern, PA · On-site

$60 - $65/hr

FullStack AWS AI Engineer Job Location: Malvern, PA Job Type: Contract Job Overview: Pay Range: $60hr - $65hr Requirement/Must Have: * Strong experience in fullstack development (frontend + backend)

Spruce Infotech

.NET Developer (AWS & AI)

Fort Mill, SC · On-site

$55/hr

Pay Rate: $55 w2 Job Title: .NET Developer with AWS & AI Coding Tools (GHPC/Cursor) Location: Fort Mill, NC (Hybrid/Onsite) Client: LPL Financial/Infosys Duration: 12 Months Required Qualifications

Robots and Pencils

OR

$64.75 - $85/hr

As an AWS AI Solutions Architect, you will serve as a strategic technical advisor-translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ...

Robots and Pencils

Solutions Architect - AI

$66.25 - $87/hr

As an AWS AI Solutions Architect, you will serve as a strategic technical advisor-translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ...

Aretec

AWS AI/ML Lead

$104K - $138K/yr

Aretec is seeking an AWS AI/ML Lead with a minimum of (10) years of experience in the Information Technology field focusing on AI/ML engineering projects, DevSecOps, and technical architecture ...

CGI Inc.

Lead AWS AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Lead AWS AI Platform Engineer Category: Software Development/ Engineering Main location: United States, Ohio, Cincinnati Position ID:J0626-2681 Employment Type: Full Time Position Description: Make ...

Booz Allen Hamilton

AWS AI Cloud Engineer

Reston, VA · On-site

$86K - $198K/yr

AWS AI Cloud Engineer The Opportunity: As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you're looking for the chance ...

Booz Allen Hamilton

AWS AI Cloud Engineer

Chantilly, VA

$86K - $198K/yr

AWS AI Cloud Engineer The Opportunity: As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you're looking for the chance ...

next page

Showing results 1-20

All JobsAws Ai Jobs

Aws Ai information

See salary details

$11

$54

$77

How much do aws ai jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for aws ai in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

Does AWS offer AI services?

AWS offers a range of AI services including Amazon SageMaker for building, training, and deploying machine learning models, as well as pre-built services like Amazon Rekognition for image and video analysis, Amazon Polly for text-to-speech, and Amazon Lex for conversational interfaces. These services enable AI integration for developers and data scientists working on various applications.

What is an AWS AI job?

An AWS AI job involves designing, developing, and deploying artificial intelligence and machine learning solutions on Amazon Web Services. Professionals in this role use AWS services like SageMaker, Rekognition, Lex, and Comprehend to build AI-powered applications. Responsibilities may include data preprocessing, model training, optimization, and deployment in cloud environments. Strong knowledge of machine learning frameworks, cloud infrastructure, and DevOps practices is often required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or data science executive. These roles often require advanced skills in machine learning, deep learning, and cloud platforms like AWS, along with extensive experience and leadership responsibilities.

What types of projects or tasks can I expect to work on as part of an AWS AI team?

As part of an AWS AI team, you can expect to work on designing, developing, and deploying machine learning models and AI-driven applications using AWS services. Typical projects might involve implementing predictive analytics, building custom computer vision solutions, optimizing data pipelines, or automating business processes. You may also collaborate with data scientists, engineers, and business stakeholders to collect requirements and ensure solutions meet business goals. The work environment is often agile and collaborative, offering strong opportunities for ongoing learning and career advancement within the rapidly evolving field of cloud-based AI.

Can AI replace AWS jobs?

AI can automate certain tasks within AWS roles, such as managing cloud infrastructure or data analysis, but it is unlikely to fully replace AWS jobs. Professionals with skills in cloud architecture, security, and DevOps are still essential for designing, implementing, and maintaining cloud solutions. AI tools serve as complements that enhance productivity rather than complete replacements for AWS professionals.

How much do AWS AI engineers make?

AWS AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries, often exceeding $180,000 per year.

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

To thrive in an AWS AI role, you need strong expertise in machine learning, cloud computing, and data engineering, typically supported by a degree in computer science or related fields. Hands-on experience with AWS AI services (such as SageMaker, Rekognition, Lambda), proficiency in Python or similar programming languages, and relevant AWS certifications (like AWS Certified Machine Learning – Specialty) are commonly required. Problem-solving, communication, and the ability to work collaboratively in cross-functional teams make candidates stand out. These skills are crucial for designing, deploying, and optimizing scalable AI solutions using AWS platforms, meeting organizational needs efficiently.

More about Aws Ai jobs
What cities are hiring for Aws Ai jobs? Cities with the most Aws Ai job openings:
What are the most commonly searched types of Aws Ai jobs? The most popular types of Aws Ai jobs are:
What states have the most Aws Ai jobs? States with the most job openings for Aws Ai jobs include:
What job categories do people searching Aws Ai jobs look for? The top searched job categories for Aws Ai jobs are:
Aws Ai jobs near you
Infographic showing various Aws Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.
AWS AI Engineer - Midlevel

AWS AI Engineer - Midlevel

Accord Technologies Inc.

Piscataway, NJ • On-site

Contractor

Posted 5 days ago

Job description

Title: AWS AI Engineer - Midlevel
Location: Piscataway, NJ
Experience level : 8-10 Yrs
Position type: W2 contract
Start Date – ASAP


Mandatory Skill Set :  AWS AI stack, Amazon Transcribe, Amazon Comprehend, Amazon Bedrock

We are seeking an experienced AWS AI Engineer to design, develop, and lead enterprise-scale AI/ML solutions on AWS. The ideal candidate will have strong expertise in the AWS AI stack, with hands-on experience in Amazon Transcribe, Amazon Comprehend, and Amazon Bedrock, along with a proven ability to architect and deploy intelligent, scalable, and secure cloud-native solutions.


Key Responsibilities

  • Lead the design and implementation of AI/ML solutions using AWS services.
  • Architect and build intelligent applications leveraging the AWS AI stack.
  • Develop and integrate solutions using:Amazon Transcribe for speech-to-text and audio processing use cases
  • Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text analytics
  • Amazon Bedrock for building generative AI applications using foundation models
  • Collaborate with business, product, and engineering teams to identify AI-driven opportunities and translate requirements into scalable solutions.
  • Design end-to-end data and AI workflows, including ingestion, preprocessing, model integration, and deployment.
  • Ensure AI solutions meet security, compliance, performance, and cost-optimization requirements.
  • Guide the team on best practices for AWS architecture, MLOps, and AI solution deployment.
  • Provide technical leadership, mentoring, and code/design reviews for junior engineers.
  • Evaluate emerging AWS AI/ML services and recommend innovative solutions for business needs.

Required Skills

  • Strong experience as an AWS AI Engineer
  • Deep hands-on expertise in the AWS AI stack, especially:
  • Amazon Transcribe
  • Amazon Comprehend
  • Amazon Bedrock
  • Strong understanding of AI/ML solution architecture on AWS.
  • Experience building NLP, speech analytics, and generative AI applications.
  • Proficiency in Python and working knowledge of APIs, SDKs, and cloud-native integrations.
  • Experience with AWS services such as Lambda, S3, API Gateway, Step Functions, IAM, CloudWatch, and SageMaker.
  • Knowledge of prompt engineering, foundation models, and LLM-based application development.
  • Experience with CI/CD, DevOps, and MLOps practices in cloud environments.
  • Strong understanding of security, scalability, and cost optimization in AWS.
  • Excellent problem-solving, leadership, and stakeholder management skills.

Preferred Qualifications

  • AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect.