
Senior Contact Center Engineer
PRESIDIO NETWORKED SOLUTIONS, INC.
NEW YORK, NYJobSeen todaySeen in employer's feed today
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Job overview
Presidio seeks a senior, client-facing Contact Center Engineer to design, implement, and support advanced contact center solutions, with primary depth in Amazon Connect and AWS. The role owns technical outcomes for complex, multi-site engagements and helps shape agentic AI delivery by designing AI agents, integrating them with enterprise systems, and measuring their performance. Presidio delivers across Amazon Connect, Cisco Webex Contact Center, Genesys, and Five9.
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Full job description
DescriptionPresidio, Where Teamwork and Innovation Shape the Future At Presidio, we're at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. We empower businesses - and their internal customers - to achieve more through innovation, automation, and intelligent insights.We know technology is the key to success in a connected world. The innovative solutions we provide our clients can unlock possibilities that transform their business. While technology permits that connection, technology without imagination and ingenuity cannot be effective. At Presidio, we know that it's our people that make the connections happen.You will set your career on track for outstanding achievement with a company that knows no limits. Presidio is a leading IT solutions provider focused on Digital Infrastructure, Business Analytics, Cloud, Security & Emerging solutions.The RolePresidio is seeking a Sr. Contact Center Engineer to join our Contact Center team. In this role you will have responsibility for the design, implementation, and support of advanced contact center solutions across multiple CCaaS platforms, with primary depth in Amazon Connect and the AWS ecosystem.This is a senior, client-facing delivery role. You will own the technical outcome on complex, multi-site engagements - architecting solutions, writing the code that makes them work, and serving as the escalation point when they don't. You will also help shape how our practice delivers agentic AI in the contact center: designing AI agents that autonomously resolve customer intents, integrating them with enterprise systems, and instrumenting them so their performance can be measured and improved rather than assumed.Presidio delivers across Amazon Connect, Cisco Webex Contact Center, Genesys, and Five9. Platform breadth is a genuine differentiator for us, and we invest in engineers who want to build it.ResponsibilitiesAmazon Connect Delivery (Primary) * Lead end-to-end delivery of Amazon Connect engagements - discovery, architecture, design, build, migration, testing, cutover, and hypercare - across complex, multi-site, multi-vendor contact center environments. * Design and build contact flows, flow modules, routing profiles, queues, quick connects, hours of operation, and agent workspace configurations that are maintainable, reusable, and version-controlled. * Implement and tune the Amazon Connect feature set, including Contact Lens (conversational analytics, post-contact summarization, performance evaluations, screen recording), Connect Cases, Customer Profiles, Outbound Campaigns, step-by-step guides, Connect Tasks, and the analytics data lake for zero-ETL reporting. * Architect omnichannel experiences spanning voice, chat, email, SMS, WhatsApp, and Apple Messages for Business within a unified agent workspace. * Design telephony and carrier integrations, including SIP, Amazon Chime SDK Voice Connector, third-party carrier onboarding, number porting, and external voice transfer. * Build for resilience and scale - multi-region architectures, Global Resiliency, capacity planning, and disaster recovery runbooks.Agentic AI Deployment * Design, build, and deploy AI agents in Amazon Connect that autonomously understand customer intent, reason across steps, invoke tools, and complete transactions across voice and digital channels - with well-defined escalation paths to human agents. * Develop agent tooling and action groups that expose enterprise APIs, Lambda functions, and CRM/WFM systems as agent-callable tools, including MCP-compatible integrations with IAM- and OAuth-scoped security boundaries. * Implement retrieval-augmented generation (RAG) patterns using Amazon Bedrock Knowledge Bases and vector stores such as OpenSearch Serverless or Amazon Kendra, and curate the knowledge sources that ground agent responses. * Build production-grade agentic runtimes with Ama
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