Contact Center AI & Ccaas, Manager

Manager role focused on transforming contact centers using CCaaS and Generative AI on AWS. Responsibilities include leading workstreams, designing and delivering AI solutions using GenAI patterns like prompt engineering, RAG, and agent/tool-calling, and managing teams through the full project lifecycle. Requires experience in consulting, AWS cloud solutions, and contact center transformation.

What you'd actually do

  1. Lead workstreams for AI-enabled contact center transformation initiatives, helping clients translate customer service goals into business requirements, solution designs, and measurable outcomes.
  2. Support the design and delivery of Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation, governance, and safety controls.
  3. Partner with client stakeholders to define future-state service experiences, operating processes, and supporting technology capabilities across contact center modernization efforts.
  4. Serve as a bridge between business, operations, product, and engineering teams to shape requirements, prioritize features, and drive implementation decisions.
  5. Manage teams in the design, build, test, and deployment of cloud-based contact center solutions, while promoting quality, delivery discipline, and adoption.

Skills

Required

  • 8+ years of experience in consulting and/or industry delivering digital, cloud, and/or contact center solutions.
  • 2+ years of project experience supporting the design, build, and implementation of cloud-based solutions on AWS.
  • Experience working across both business and technical stakeholders to gather requirements, define use cases, and support solution delivery.
  • Experience with contact center transformation, customer service operations, and/or digital servicing solutions.
  • Bachelor's Degree in Computer Science, Engineering, Information Systems, Business, or equivalent work experience.

Nice to have

  • Hands-on or delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock.
  • Experience supporting Contact Center AI use cases end-to-end, from requirements and design through testing, deployment, and adoption.
  • Familiarity with GenAI concepts such as prompt design, RAG, agent/tool-calling, model evaluation, and safety/governance controls.
  • Experience with enterprise cloud controls such as IAM, VPC/networking, secrets management, and observability/monitoring.
  • Cross-platform exposure to Google G

What the JD emphasized

  • Generative AI
  • Contact Center AI
  • AWS
  • Amazon Connect
  • Amazon Lex
  • Amazon Bedrock
  • prompt engineering
  • retrieval-augmented generation (RAG)
  • agent/tool-calling
  • evaluation
  • governance
  • safety controls

Other signals

  • Generative AI
  • Contact Center AI
  • AWS
  • Amazon Connect
  • Amazon Lex
  • Amazon Bedrock
  • prompt engineering
  • retrieval-augmented generation (RAG)
  • agent/tool-calling