Amazon Connect Engineer

Information and Technology
January 28, 2026
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Full job description

Job Title: Amazon Connect Engineer
Location: Plano, TX (100% Remote)
Duration: 6+ months

**100 REMOTE**

Job Description:

  • The role involves supporting a complex issue with Salesforce Service Cloud Voice and Amazon Connect for Expedia.
  • The position requires highly technical troubleshooting and integration skills between Salesforce and AWS Connect.
  • The team is looking to onboard around eight Amazon Connect resources, with a focus on AI integration in the call center space.
  • One role is specifically for a senior Lex developer focused on Amazon Connect and Lex bots, for a financial services client.
  • The roles are expected to start mid-January, with urgency due to client needs.
  • The work involves new AWS features released at re:Invent, including Bedrock, Nova Sonics, and Model Context Protocol (MCP).
  • The programming language primarily used is Python.
  • The roles emphasize hands-on technical work with Amazon Connect, AI models, and conversational IVR systems.
  • DevOps experience is a plus but not mandatory as it is covered by other resources.
  • The Salesforce developer role remains open but is a lower priority compared to the Amazon Connect and AI-focused roles.
  • The positions are client-facing, with candidates potentially communicating directly with the customer.

Must have requirements

  • Senior level expertise in Amazon Connect, especially with AI integration and call center voice models.
  • Strong technical skills in Salesforce Service Cloud Voice and Amazon Connect integration.
  • Proficiency in Python programming language.
  • Experience with AI models such as Nova Sonics, Bedrock, and Model Context Protocol (MCP).
  • Ability to troubleshoot complex issues involving both Salesforce and AWS Connect platforms.

Nice to have skills
Additional skills that are beneficial include familiarity with DevOps practices, although this is not a strict requirement as other team members cover this area. Experience with integrations, architectural patterns, and building AWS Lambda functions is helpful. Knowledge of voice models such as Q and Connect (previously called Q), Deepgram, and 11Labs is advantageous. Understanding of conversational AI workflows and the ability to work with new AWS features released at re:Invent, such as Bedrock and Nova Sonics, will be valuable. Experience with Lex bots is important for the specific Lex developer role, particularly in financial services contexts.

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