Senior Amazon Connect Engineer

Cloudelligent

Senior Amazon Connect Engineer at Cloudelligent designing and optimizing AI-powered customer engagement solutions. Collaborating with teams to modernize contact centers utilizing AWS technologies.

Posted 7/16/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing Amazon Connect solutions, integrating with various enterprise platforms, and developing serverless applications using AWS services. Proficient in conversational AI technologies to enhance customer experiences in contact center environments.

Highest-signal resume keywords

Amazon Connect ConfigurationAWS Lambda DevelopmentConversational AI ImplementationREST API IntegrationCloud Architecture Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Amazon ConnectAWS LambdaREST APIsPythonNLP/NLU SolutionsDynamoDBAmazon S3API GatewayStep FunctionsContact Center Technologies

Soft Skills

Excellent CommunicationCollaboration

Tools & Technologies

SalesforceServiceNowZendeskEventBridgeAmazon LexAmazon Bedrock

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in AI or Machine Learning

Industry Keywords

Cloud ArchitectureContact CenterCustomer ExperienceWorkforce OptimizationIVRACDCall Routing

Tech Stack

Tools & technologies

AWSCloudDynamoDBERPPythonServiceNowTerraform

About the role

Key responsibilities & impact

Design, implement, and support enterprise-scale Amazon Connect solutions.
Configure and customize Amazon Connect components, including Contact Flows, Queues, Routing Profiles, Quick Connects, Hours of Operation, and Agent Workspaces.
Develop serverless applications using AWS Lambda, API Gateway, Step Functions, DynamoDB, Amazon S3, and EventBridge to extend Amazon Connect functionality.
Integrate Amazon Connect with CRM, ERP, ServiceNow, Salesforce, Zendesk, and other enterprise platforms using REST APIs and AWS services.
Implement conversational AI solutions using Amazon Lex and Amazon Bedrock to enhance self-service and customer experiences.
Troubleshoot and optimize Amazon Connect deployments for performance, reliability, scalability, and security.
Collaborate with customers and internal teams to gather requirements and translate business needs into technical solutions.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
5+ years of experience in cloud architecture and implementation.
3+ years of Amazon Connect experience.
3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or any Bot Service) at enterprise scale in a contact center environment.
3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9).
Strong experience configuring Amazon Connect, including Contact Flows, Routing Profiles, Queues, Quick Connects, and Agent Workspace.
Experience with AWS services including AWS Lambda, API Gateway, Amazon S3, DynamoDB, Step Functions, IAM, and CloudWatch.
Proficiency in Python for automation, integrations, and serverless development.
Knowledge of contact center technologies and concepts, including IVR, ACD, call routing, customer experience, and workforce optimization.
Experience implementing conversational AI solutions using Amazon Lex and/or Amazon Bedrock.
Excellent communication skills with the ability to collaborate effectively with technical and business stakeholders.

Benefits

Comp & perks

Health insurance
Professional development
Flexible work arrangements