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Aws Ai Jobs (NOW HIRING)

Virtusa Corporation

AWS AI Architect (ATC)

New York, NY · On-site

$70.75 - $93/hr

JD AWS AI Expert Role Desscription As the AWS AI Expert, you will drive the design, development, and deployment of advanced AI and machine learning solutions across the enterprise. You'll collaborate ...

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 ...

Involgix

AWS AI ENGINEER

San Antonio, TX · On-site

Need Locals only who can come for In-Person Interview AWS AI Engineer - Bedrock & Custom AI/ML Location: San Antonio, TX _ Oniste Role Summary We are looking for AWS AI Engineers with hands-on ...

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

VP, Solutions Architect - AWS

OR · On-site +1

$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

VP, Solutions Architect - AWS

$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 ...

Hudson IT

AWS AI Engineer V - CANDIDATES

Dallas, TX · On-site

AWS AI Engineer V Location: REMOTE USA TOP SKILLS: Must Have AWS services- Bedrock, SageMaker, ECS and Lambda Demonstrated contributions to open-source AI/ML/Cloud projects Demonstrated proficiency ...

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 ...

Quantiphi, Inc.

AWS AI/ML Technical Practice Lead

Quantphi is seeking a Technical Leader to drive our AWS AI/ML business. The AI/ML Leader is responsible for the overall technical strategy, planning, technical solutions and execution in driving ...

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Aws Ai information

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How much do aws ai jobs pay per hour?

As of Aug 21, 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.

What is an AWS AI?

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 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.

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.

Is AWS AI in demand?

AWS AI roles are in high demand as organizations increasingly adopt cloud-based artificial intelligence solutions. Skills in AWS services like SageMaker, Rekognition, and Lex, along with cloud computing expertise, are highly sought after in the job market.
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Aws Ai jobs near you
Infographic showing various Aws Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

AWS AI Engineer - Midlevel

Accord Technologies Inc.

Piscataway, NJ • On-site

Contractor

Re-posted 13 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.