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Aws Ai Engineer Jobs (NOW HIRING)

Lead AWS AI Engineer

Piscataway, NJ ยท 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 ...

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.

... AWS SageMaker for model development and model deployment. โ€ข Experience with developing and deploying AI Agents for business problems. โ€ข Experience in optimizing and adapt prompt engineering ...

... AWS SageMaker for model development and model deployment. * Experience with developing and deploying AI Agents for business problems. * Experience in optimizing and adapt prompt engineering ...

... AWS SageMaker for model development and model deployment. โ€ข Experience with developing and deploying AI Agents for business problems. โ€ข Experience in optimizing and adapt prompt engineering ...

... AWS SageMaker for model development and model deployment. * Experience with developing and deploying AI Agents for business problems. * Experience in optimizing and adapt prompt engineering ...

Overview As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives ... Utilize frameworks such as LangChain, LangGraph, Strands, and AWS Bedrock AgentCore to develop ...

Full - Stack AWS AI Engineer

Malvern, PA ยท On-site

$60 - $65/hr

Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon ... Experience working in Agile / DevOps teams. Founded in 2010 and headquartered in the Washington, DC ...

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... Utilize frameworks such as LangChain, LangGraph, Strands, and AWS Bedrock AgentCore to develop ...

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... Utilize frameworks such as LangChain, LangGraph, Strands, and AWS Bedrock AgentCore to develop ...

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... Utilize frameworks such as LangChain, LangGraph, Strands, and AWS Bedrock AgentCore to develop ...

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... Utilize frameworks such as LangChain, LangGraph, Strands, and AWS Bedrock AgentCore to develop ...

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

AWS and Gen AI Engineer

Houston, TX ยท Remote

$109K - $131K/yr

AWS Generative AI Engineer Location: 100% Remote Role: AWS GenAI Engineer - Intelligent Document Processing and Data Pipelines Job Summary We are seeking an experienced AWS Generative AI Engineer to ...

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Aws Ai Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do aws ai engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for aws ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Aws Ai Engineer 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 $101,752 per year, or $48.9 per hour.

AWS AI Engineer - Midlevel

Piscataway, NJ โ€ข On-site

Accord Technologies Inc.
IT Servicesย โ€ขย 51 - 200 employees

Contractor

Re-posted 8 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.