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Amazon Lex 5 Jobs (NOW HIRING)

At least 5 years of hands-on Amazon Connect experience. * Demonstrated experience integrating Amazon Connect with Amazon Lex and Salesforce. * Strong AWS architecture, networking, and Lambda ...

Required : • 3-5 years of experience in chatbot development or similar roles within large-scale ... including Amazon Lex for conversational interfaces and Amazon Connect for voice and chat ...

FDE with Amazon Connect

Saint Louis, MO · On-site

$73K - $170K/yr

Instance administration, routing profiles, security profiles, agent hierarchy Amazon Lex * Intent ... * 5+ years delivering production contact center or conversational AI solutions * AWS Certified ...

... * 5+ years of experience in UX/UI design and development, with a strong focus on designing and ... Hands-on experience with AWS services such as AWS Lambda, Amazon Lex, Amazon Polly, and Amazon ...

New

... * 5+ years of experience in UX/UI design and development, with a strong focus on designing and ... Hands-on experience with AWS services such as AWS Lambda, Amazon Lex, Amazon Polly, and Amazon ...

New

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. * 5+ ... Experience testing Amazon Lex conversational bots. * Experience validating AWS Lambda functions.

AWS Connect Developer

Dallas, TX · Remote

$60 - $65/hr

Required Qualifications · 5-8 years of software development experience, including 2+ years in ... Preferred Skills · Experience with Amazon Lex, Polly, and Transcribe for conversational AI. · ...

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Amazon Lex 5 information

See salary details

$45.5K

$144.9K

$222.5K

How much do amazon lex 5 jobs pay per year?

As of Aug 31, 2026, the average yearly pay for amazon lex 5 in the United States is $144,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $172,500.00 per year, depending on experience, location, and employer.

What is Amazon Lex 5?

Amazon Lex 5 refers to the fifth version of Amazon Lex, a service provided by AWS for building conversational interfaces into applications using voice and text. It enables developers to create chatbots and virtual assistants that can understand natural language and interact with users effectively. Amazon Lex 5 offers enhanced features such as improved language models, better integration options, and advanced dialog management capabilities. This service is widely used for customer support, information retrieval, and automating routine tasks across various industries.

How does an Amazon Lex developer typically collaborate with cross-functional teams during the development of conversational interfaces?

As an Amazon Lex Developer, you'll often work closely with UX designers, product managers, and backend engineers to create and refine conversational bots. Collaboration involves gathering requirements, integrating Lex with other AWS services, and conducting iterative testing to ensure user-friendly interactions. Regular meetings and feedback sessions are common, and developers are expected to communicate technical constraints and possibilities to non-technical stakeholders. This collaborative environment ensures the final product aligns with both business goals and user needs.

What are the key skills and qualifications needed to thrive as an Amazon Lex developer, and why are they important?

To thrive as an Amazon Lex Developer, you need expertise in natural language processing, chatbot design, and proficiency in programming languages like Python or JavaScript, often supported by a degree in computer science or related fields. Familiarity with AWS services, especially Lex, Lambda, IAM, and cloud deployment tools, as well as relevant AWS certifications, is highly valuable. Strong problem-solving, communication, and project management skills help developers collaborate with stakeholders and deliver user-friendly conversational interfaces. These skills ensure effective development, integration, and maintenance of scalable, intelligent chatbots that enhance user experience and business efficiency.

What is the difference between Amazon Lex 5 and Amazon Lex Developer?

AspectAmazon Lex 5Amazon Lex Developer
Primary RoleDesigning and deploying conversational interfaces using Amazon Lex 5Developing, customizing, and maintaining Amazon Lex chatbots and voice assistants
Required SkillsKnowledge of AWS services, chatbot design, basic programmingProficiency in AWS, scripting, and chatbot development
Work EnvironmentCloud-based, AWS ecosystemCloud-based, AWS ecosystem
CertificationsAWS certifications helpful, especially AWS Certified DeveloperSame as Amazon Lex 5, with emphasis on developer certifications

Amazon Lex 5 focuses on designing and deploying conversational interfaces, while Amazon Lex Developer is more involved in coding, customizing, and maintaining chatbots. Both roles require AWS knowledge and certifications, but the developer role demands deeper technical skills.

More about Amazon Lex 5 jobs
Infographic showing various Amazon Lex 5 job openings in the United States as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $144,944 per year, or $69.7 per hour.

Amazon Connect -Agentic Voice AI

New York, NY • Remote

Other

Posted 5 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