Contact Center AI & Ccaas, Technical Manager

Technical Manager role focused on modernizing contact centers using CCaaS and Generative AI, primarily on AWS. The role involves leading AI-enabled transformation workstreams, architecting and delivering GenAI solutions (prompt engineering, RAG, agent/tool-calling), partnering with clients on future-state experiences, supporting business development, and leading delivery teams through the full lifecycle.

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 through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

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