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Aws Ai Jobs (NOW HIRING)

AWS AI Cloud Engineer

Reston, VA · On-site

$86.80 - $198/hr

R0238414 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 ...

New

AWS AI Cloud Engineer

Mclean, VA · On-site

$86.80 - $198/hr

R0238414 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 ...

New

AWS Enterprise Architect

Richardson, TX · On-site

$58.75 - $77.25/hr

AWS Enterprise Architect Job Location : Plano, TX, Raleigh, NC, Richardson, TX, Tempe, AZ Job Type ... Java (Spring Boot, Microservices), .NET, Python (preferred for AI/ML use cases) ⦁ Proven ability ...

New

AWS FedRAMP Cloud Engineer

Charlotte, NC · On-site

$54.50 - $72.75/hr

AWS FedRAMP Cloud Engineer Role Summary We are looking for an AWS FedRAMP Cloud Engineer to deploy manage and secure AI services in AWS FedRAMP environments while ensuring compliance with FedRAMP ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

NY · On-site

$120 - $150/hr

Very good knowledge of AWS, in particular AWS SageMaker and Bedrock * Minimum 5-7 years of experience in implementing AI projects, including at least 3 years of LLM experience * Experience in ...

New

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This ...

Showing results 41-60

Aws Ai information

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$11

$54

$77

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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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.

Sr. AWS AI Engineer with Bedrock Agent Core & Custom AI/ML

Cliff Services Inc

San Antonio, TX • On-site

$95K - $130K/yr

Other

Posted 2 days ago

New


Job description

Sr. AWS AI Engineer with Bedrock Agent Core & Custom AI/ML

Location: San Antonio, Texas Local ONLY

Final round in-person interview MUST

Role Summary

We are looking for AWS AI Engineers with hands-on experience building AI/ML and GenAI solutions using Amazon Bedrock and Bedrock AgentCore.

This role will focus on implementation, and engineering of AI-powered applications.

Key Responsibilities

Build and implement AI/GenAI applications using Amazon Bedrock and AgentCore

Develop and integrate Bedrock agents, tools, and knowledge bases into applications

Implement RAG pipelines using S3, OpenSearch, DynamoDB, and embeddings

Develop backend services using Python and AWS Lambda

Work with APIs and event-driven architectures using API Gateway, EventBridge, Step Functions

Experiment with prompts, evaluate outputs, and optimize performance and cost

Build and deploy AI/ML pipelines using AWS-native services

Collaborate with the Solutions Architect on architecture and design implementation

Required Skills & Experience

3 6 years of experience in software engineering, AI, or ML

Hands-on experience with Amazon Bedrock (agents, AgentCore, KBs, guardrails preferred)

Strong Python development skills

Experience with AWS services:

o Lambda, S3, DynamoDB, API Gateway, IAM

Experience implementing:

o RAG (Retrieval Augmented Generation)

o Embeddings and vector search

o Prompt engineering

Familiarity with ML concepts (training, evaluation, fine-tuning is a plus)

Preferred Qualifications

Experience with OpenSearch, LangChain, or similar orchestration frameworks

Exposure to SageMaker, MLOps, or model lifecycle management

AWS certification (Associate level or above)

Experience working on enterprise AI or chatbot/assistant solution