Senior Amazon Connect Engineer (Conversational AI)

Oowlish TechnologyMexicoOn-siteFull-timeSenior, 5–8 yearsListed 2 weeks ago

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About this role

About the Role
We are looking for an experienced Senior Amazon Connect Engineer to build enterprise-scale contact center and conversational AI solutions using Amazon Connect, AWS serverless technologies, and Generative AI.
This is a highly hands-on engineering role where you'll build contact flows, AI agents, serverless integrations, and custom agent experiences while helping modernize large-scale customer service platforms. You'll work across Amazon Connect, Amazon Bedrock, conversational AI, full-stack development, and cloud-native architectures.
The ideal candidate combines deep experience with Amazon Connect or enterprise CCaaS with strong software engineering fundamentals and hands-on experience building AI-powered conversational experiences. You'll also work directly with customer engineering teams, contributing to technical decisions, implementations, production releases, and knowledge transfer.

Key Responsibilities:

- Design and build enterprise contact center solutions using Amazon Connect.

- Develop and maintain contact flows, routing strategies, Customer Profiles, Cases, Tasks, and other Amazon Connect capabilities.

- Build AI-powered self-service and conversational experiences using Amazon Connect AI capabilities and Amazon Bedrock.

- Develop AI agents with tool-calling integrations, business workflows, authentication flows, and appropriate guardrails.

- Implement conversational AI behaviors including escalation to human agents, fallback handling, and error recovery.

- Develop backend integrations using AWS Lambda and serverless AWS services.

- Build serverless and event-driven solutions using technologies such as EventBridge, Step Functions, SQS/SNS, DynamoDB, and Kinesis.

- Develop custom agent and administrative experiences using React and Amazon Connect Streams API.

- Integrate contact center solutions with CRM and enterprise platforms.

- Build Infrastructure as Code using AWS CDK and/or Terraform.

- Develop and maintain CI/CD pipelines and automated testing.

- Implement monitoring, observability, and alerting for production contact center and AI workloads.

- Troubleshoot complex production issues across voice, chat, backend services, and AI agents.

- Support migrations from legacy contact center platforms to modern cloud-based solutions.

Requirements:

- 7+ years of hands-on software engineering experience.

- 2+ years building enterprise-scale solutions with Amazon Connect or comparable Contact Center as a Service (CCaaS) platforms.

- Strong hands-on experience developing modern cloud applications using AWS.

- Experience building conversational AI or Generative AI solutions.

- Strong TypeScript/Node.js and Python development experience.

- Production React development experience.

- Strong AWS serverless engineering experience.

- Experience with Infrastructure as Code.

- Experience deploying and supporting production systems.

- Strong customer-facing communication skills.

- Strong written and verbal English communication skills.

Must Have:

- Strong Amazon Connect experience, including:

Contact Flows

- Routing

- Customer Profiles

- Cases and Tasks

- Contact Lens

- Streams API

- Experience building Conversational AI solutions.

- Hands-on experience with LLM-based development.

- Experience with Amazon Bedrock, Amazon Q in Connect, or equivalent Generative AI technologies .

- Experience with Prompt Engineering.

- Experience implementing AI tool calling and external API integrations.

- Strong TypeScript/Node.js development experience.

- Strong Python development experience.

- Production experience with React .

- Strong AWS serverless experience, including technologies such as:

AWS Lambda

- EventBridge

- API Gateway

- DynamoDB

- Step Functions

- Infrastructure-as-Code experience with AWS CDK or Terraform .

- Experience building and supporting production systems.

- Experience with automated testing and CI/CD.

- Experience implementing monitoring and observability.

Nice to Have:

- Amazon Lex experience.

- Experience with multi-agent AI architectures.

- Experience implementing AI guardrails and hallucination mitigation.

- AI observability experience, including latency, trace, token, and cost analysis.

- Amazon Connect Contact Lens experience.

- Amazon Connect Workforce Management (WFM) experience.

- Contact center analytics experience.

- Experience with AWS Glue, Lake Formation, Athena, or QuickSight.

- Experience migrating from legacy contact center platforms such as:

Avaya

- Genesys

- Cisco

- Oracle

- Salesforce

- Experience with CRM integrations, including Salesforce or ServiceNow.

- Experience with contact center operations and metrics such as AHT, CSAT, SLA/TAT, and containment.

- Experience with accessibility standards such as WCAG 2.1 AA or Section 508.

- Experience working in regulated environments such as healthcare, financial services, or government.

- AWS certifications.

Benefits & Perks:

Home office;
Competitive compensation based on experience;
Career plans to allow for extensive growth in the company;
International Projects;
Oowlish English Program (Technical and Conversational);
Oowlish Fitness with Total Pass;
Games and Competitions;

You can also apply here:

Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/