ZipRecruiter

Log In

2

Remote Amazon Ai Jobs (NOW HIRING)

Workana

Account specialist Amazon

$19.50 - $26.50/hr

... remote environment. Responsibilities * Manage Amazon Seller Central (3P) and Vendor Central (1P ... Experience using AI tools (such as ChatGPT or similar) to improve workflows, reporting, or content ...

Telus Digital

$152K - $179K/yr

Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise ... Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA, OR in a Work From Anywhere (Remote ...

next page

Showing results 1-20

All Jobsremote JobsTechnology JobsRemote Amazon Ai Jobs

Remote Amazon Ai information

See salary details

$22K

$149.5K

$192.5K

How much do remote amazon ai jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote amazon ai in the United States is $149,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a Remote Amazon AI?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

What are the key skills and qualifications needed to thrive as a Remote Amazon AI specialist, and why are they important?

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is the difference between Remote Amazon Ai vs Remote Data Scientist?

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

More about Remote Amazon Ai jobs

What cities are hiring for Remote Amazon Ai jobs?

Cities with the most Remote Amazon Ai job openings:

What are the most commonly searched types of Amazon Ai jobs?

The most popular types of Amazon Ai jobs are:

What states have the most Remote Amazon Ai jobs?

States with the most job openings for Remote Amazon Ai jobs include:

What job categories do people searching Remote Amazon Ai jobs look for?

The top searched job categories for Remote Amazon Ai jobs are:

Remote Amazon Ai jobs near you
Infographic showing various Remote Amazon Ai job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $149,544 per year, or $71.9 per hour.

Amazon Connect -Agentic Voice AI

vaaridatech

New York, NY • Remote

Other

Posted 6 days ago

Job description

Role : Lead Architect - Amazon Connect / Amazon Lex / Agentic Voice AI
Location: REMOTE
Job Type- W2 Contract

Job description Below

Client is seeking a Lead Architect with deep expertise in Amazon Connect, Amazon Lex, Agentic Voice AI, Connect AI Agents, and Assisted NLU to lead the design and delivery of enterprise-scale conversational AI and contact center transformation initiatives. The ideal candidate will define architecture strategy, drive AI-powered customer experience modernization, and lead the implementation of intelligent voice and digital engagement solutions. This role requires hands-on experience architecting cloud-native solutions on AWS, integrating AI agents with enterprise systems, enabling autonomous and assisted customer journeys, and providing technical leadership across cross-functional teams. The candidate should possess strong stakeholder management skills and a proven track record delivering scalable, secure, and highly available contact center platforms. 

Key Requirements
• 10+ years of overall technology experience with 5+ years in Contact Center and Conversational AI architecture
• Hands-on expertise with Amazon Connect, Amazon Lex, Connect AI Agent, and Agent Assist capabilities
• Experience designing and implementing Agentic Voice AI solutions for autonomous customer interactions
• Strong knowledge of Assisted NLU, intent recognition, entity extraction, dialog orchestration, and conversational design
• Experience with Generative AI services including Amazon Bedrock, foundation models, prompt engineering, and RAG architectures
• Expertise in architecting voice, chat, IVR, self-service, and omni channel customer engagement solutions
• Strong AWS experience including Lambda, API Gateway, Step Functions, S3, DynamoDB, CloudWatch, IAM, and networking services
• Experience integrating contact center platforms with CRM, ERP, customer data platforms, and third-party applications
• Proven ability to design scalable, secure, and highly available cloud-native architectures
• Strong understanding of contact center KPIs, customer journey design, routing strategies, and workforce optimization concepts
• Experience defining solution blueprints, technical standards, governance frameworks, and best practices
• Ability to lead architecture reviews, technical workshops, and executive-level discussions
• Experience managing onshore/offshore engineering teams and mentoring solution architects and developers
• Strong communication, presentation, stakeholder management, and client-facing consulting skills
• AWS certifications such as AWS Solutions Architect Professional or AWS Machine Learning Specialty preferred
• Prior experience in financial services, healthcare, insurance, telecom, or large enterprise contact center environments preferred

Preferred Skills
• Amazon Bedrock
• Knowledge Bases and RAG
• Real-time Agent Assist
• Contact Center Analytics and Reporting
• Speech Analytics and Sentiment Analysis
• Multi-Agent Orchestration
• AI Governance and Responsible AI
• CI/CD and DevSecOps on AWS
• Salesforce, ServiceNow, or Dynamics CRM integrations