Ccaas X Ai, Manager, Functional Transformation

Manager role focused on transforming contact centers using CCaaS and Generative AI, primarily on AWS. Responsibilities include leading AI-enabled transformation workstreams, architecting and delivering GenAI solutions using patterns like prompt engineering, RAG, and agent/tool-calling, and leading delivery teams through the full lifecycle. Requires experience with cloud-based contact center solutions and AWS.

What you'd actually do

  1. Lead AI-enabled contact center transformation workstreams and engagements, translating servicing objectives into solution roadmaps, architecture decisions, and measurable business outcomes.
  2. Architect and deliver 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 clients to define future-state service experiences, operating models, and technology architectures across contact center modernization initiatives.
  4. Support business development efforts where Contact Center AI is a core component by contributing to scope, estimates, solution storylines, workshops, and executive-level discussions.
  5. Lead teams in the design, build, test, and deployment of cloud-based contact center solutions, while mentoring practitioners and promoting delivery quality, technical rigor, and adoption at scale.

Skills

Required

  • 8+ years of experience in consulting and/or industry delivering digital, cloud, and/or contact center solutions.
  • 4+ years project experience architecting, building, and supporting cloud-based solutions on AWS.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average

Nice to have

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design thr

What the JD emphasized

  • 8+ years of experience in consulting and/or industry delivering digital, cloud, and/or contact center solutions.
  • 4+ years project experience architecting, building, and supporting cloud-based solutions on AWS.

Other signals

  • AI-enabled contact center transformation
  • Generative AI
  • CCaaS
  • AWS
  • GenAI patterns
  • prompt engineering
  • retrieval-augmented generation (RAG)
  • agent/tool-calling
  • evaluation, governance, and safety controls
  • cloud-based contact center solutions