
Senior Contact Center Engineer
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in United States.
• Oversee comprehensive Amazon Connect engagements encompassing discovery, architecture, design, construction, migration, testing, cutover, and hypercare.
• Create and configure contact flows, routing profiles, queues, quick connects, hours of operation, and agent workspace setups.
• Deploy and optimize Amazon Connect features such as Contact Lens, Connect Cases, Customer Profiles, Outbound Campaigns, step-by-step guides, Connect Tasks, and analytics data lakes.
• Design omnichannel experiences integrating voice, chat, email, SMS, WhatsApp, and Apple Messages for Business.
• Develop telephony and carrier integrations including SIP, Amazon Chime SDK Voice Connector, carrier onboarding, number porting, and external voice transfer.
• Construct robust and scalable multi-region architectures with capacity planning and disaster recovery documentation.
• Design, build, and implement AI agents in Amazon Connect across voice and digital platforms, ensuring escalation paths to human agents.
• Create agent tooling and action groups that leverage enterprise APIs, Lambda functions, and CRM/WFM systems as accessible tools for agents.
• Implement RAG patterns utilizing Amazon Bedrock Knowledge Bases and vector storage solutions like OpenSearch Serverless or Amazon Kendra.
• Establish production-grade agentic runtimes with Amazon Bedrock AgentCore and integrate them into Connect flows.
• Deliver low-latency conversational voice experiences using Amazon Lex V2 streaming bots and Amazon Nova foundation models.
• Monitor, assess, and enhance AI agent performance through traces, dashboards, and quality metrics.
• Employ responsible AI practices including guardrails, PII redaction, hallucination detection, prompt versioning, human-in-the-loop reviews, and auditable decision trails.
• Create reusable agentic patterns, prompt libraries, and reference architectures.
• Write high-quality serverless code in Python, Node.js, Java, or JavaScript.
• Define infrastructure as code and establish CI/CD pipelines across sandbox, development, staging, and production environments.
• Integrate Amazon Connect with CRM and WFM platforms through CTI adapters, embedded applications, and custom APIs.
• Develop automated testing and monitoring solutions for contact flows and AI agents.
• Design and implement Cisco Webex Contact Center solutions along with digital channels.
• Facilitate migrations from Cisco UCCE/PCCE and legacy systems to Webex Contact Center.
• Design and implement Genesys Cloud CX solutions, including routing, agent desktop setup, administration, self-service, and AI functionalities.
• Integrate Genesys Cloud with CRM, WFM, and telephony environments.
• Act as a trusted advisor and technical escalation resource for enterprise clients.
• Mentor engineers, lead design reviews, and establish internal CCaaS and AI delivery standards.
• Assist in pre-sales efforts through scoping, estimates, statements of work, demonstrations, and proof-of-concept builds.
• Contribute to internal accelerators, tooling, and reusable intellectual property.
• Collaborate with the National Contact Center team and partner vendors.
• Document as-built designs, runbooks, and knowledge-transfer materials.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline — or equivalent professional and/or military experience.
• 3+ years of experience in designing, deploying, and supporting contact center technology solutions on enterprise CCaaS platforms.
• 3+ years of experience delivering production Amazon Connect implementations.
• In-depth hands-on expertise with AWS Lambda, S3, DynamoDB, IAM, CloudWatch, EventBridge, Step Functions, API Gateway, and Kinesis.
• Experience in creating generative and agentic AI workflows for contact centers using Amazon Bedrock, Amazon Lex V2, and contemporary foundation models.
• Familiarity with RAG, tool/function calling, guardrails, and assessing the quality of agent output.
• Software development experience in Python, Node.js, Java, or JavaScript.
• Working knowledge of infrastructure as code and deployment automation with CloudFormation, CDK, SAM CLI, Terraform, and AWS CLI.
• Experience in promoting changes through multi-environment pipelines.
• Experience integrating contact center platforms with enterprise CRM and WFM systems such as Salesforce, ServiceNow, Dynamics, NICE, Verint, or Calabrio.
• Understanding of SAML, OAuth 2.0, OIDC, Amazon Cognito, IAM Identity Center, or similar enterprise identity providers.
• Knowledge of least-privilege design for agent-to-tool delegation.
• Practical understanding of omnichannel design, third-party WFO platforms, telephony and carrier concepts, SIP, and contact center reporting and analytics.
• Strong written and verbal communication skills, active listening abilities, and presentation skills.
• Analytical and consultative capabilities, with the ability to apply solutions, technology, and products to business opportunities.
• Ability to collaborate effectively with others and operate independently in ambiguous client environments.
• Eagerness to learn new technologies and adhere to industry and Presidio standards.
• Willingness to travel to client locations as needed, typically less than 25%.
• Preferred experience with Cisco Webex Contact Center.
• Preferred experience with Genesys Cloud CX.
• Experience with self-service and AI functionalities on secondary platforms.
• Experience integrating Webex Contact Center or Genesys Cloud with enterprise CRM and WFM systems.
• Experience executing cross-platform migrations between legacy or competing CCaaS platforms.
• Background with legacy Cisco contact center platforms such as UCCE/PCCE, CVP, Finesse, or CUCM.
• Experience in professional services, consulting, or systems integration with billable delivery expectations.
• Industry experience in healthcare, financial services, retail, or public sector.
• Familiarity with HIPAA, PCI-DSS, or FedRAMP compliance requirements.
• Proficiency in SQL and contact center data models.
• Competence in server virtualization and hybrid cloud architectures.
• Opportunity for remote work.
• Ability to travel to client sites as needed, typically less than 25%.
• Professional growth and development through engagement with generative AI, cloud solutions, cybersecurity, networking, digital transformation, and cloud computing.
• Commitment to equal opportunity employment.
• Provision of reasonable accommodations for individuals with disabilities.
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