Google CCAI OR Contact Center AI

Charlotte, NC, US • Posted 18 hours ago • Updated 16 hours ago
Contract Independent
Contract W2
12 Months
On-site
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Google CCAI

Summary

Role; Google CCAI

Client: Infosys/ Charter

Locations: Charlotte, NC

VISA:

Pay Rate: $75/hr on c2c

Role 1

Job Description Google CCAI / GECX Pod Lead (Development & Migration)

Role Title: Google CCAI / GECX Pod Lead
Experience: 7 12 Years

Job Summary

We are seeking an experienced Google CCAI / GECX Pod Lead to lead a small team of Conversational AI developers in designing, developing, and delivering enterprise-scale customer experience solutions on the Google Cloud ecosystem.

The ideal candidate should possess strong hands-on expertise in Google Contact Center AI (CCAI), Dialogflow CX, Google GECX (GenCX) Playbooks, Generative AI, Python integrations, and cloud-native development, while also demonstrating proven experience leading agile development pods of 3 10 developers.

This role requires a blend of technical leadership, solution design, team mentoring, stakeholder collaboration, and delivery ownership, particularly in large-scale contact center modernization and migration programs involving platforms such as Genesys, NICE CXone, Amazon Connect, and legacy IVR solutions.

Key Responsibilities

Technical Leadership & Team Management

  • Lead and mentor a pod of Conversational AI developers, engineers, and integration specialists.
  • Provide technical guidance, code reviews, design reviews, and development best practices.
  • Allocate tasks, track sprint progress, manage delivery commitments, and remove technical blockers.
  • Collaborate with architects, business analysts, product owners, and customer stakeholders.
  • Drive engineering excellence through reusable frameworks, coding standards, automation, and DevOps best practices.

Conversational AI Solution Development

  • Design and implement intelligent voice and chat virtual agents using Google Dialogflow CX and Google Contact Center AI (CCAI).
  • Define conversation architecture, intent strategy, entity models, routing structures, fulfillment logic, and conversational experiences.
  • Lead development of reusable conversational components and enterprise bot frameworks.
  • Ensure scalable, maintainable, and high-performing customer interaction solutions.

GECX / Generative AI Development

  • Lead implementation of Google GECX (GenCX) Playbooks and AI-powered agent assistance capabilities.
  • Design Generative AI-based customer journeys using Gemini and Vertex AI services.
  • Define prompting strategies, grounding mechanisms, response orchestration, and AI governance controls.
  • Guide teams on prompt engineering, prompt optimization, tuning, and evaluation.

Integration & Backend Development

  • Oversee development of Python-based fulfillment services and webhooks.
  • Design integrations with enterprise applications, CRM systems, customer databases, middleware platforms, and third-party APIs.
  • Establish secure integration patterns leveraging OAuth, JWT, REST APIs, gRPC, and cloud-native services.
  • Lead orchestration design for backend workflows, customer authentication, profile retrieval, and transaction services.

Migration & Modernization Programs

Lead and support migration initiatives such as:

  • Genesys to Google CCAI
  • NICE CXone to Google CCAI
  • Amazon Connect to Google CCAI
  • Legacy IVR modernization
  • Dialogflow ES to Dialogflow CX migration
  • Traditional chatbot to Generative AI transformation

Responsibilities include:

  • Current-state assessment and discovery
  • Conversation flow analysis and redesign
  • Intent and entity mapping
  • Migration planning and execution
  • Knowledge migration strategy
  • Quality assurance and deployment support

Delivery & Governance

  • Own pod-level delivery commitments, sprint planning, estimation, and reporting.
  • Monitor development quality, code coverage, defect trends, and operational metrics.
  • Manage risks, dependencies, and technical escalations.
  • Contribute to solution architecture, effort estimation, and proposal activities.
  • Support UAT, go-live planning, hypercare, and production stabilization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91174879
  • Position Id: 9031911
  • Posted 18 hours ago

Company Info

About LANDMARKIT LLC

LandmarkIT connects exceptional technology talent with forward-thinking companies and supports software initiatives across cloud, cybersecurity, IAM, DevOps, QA, data, and enterprise applications.

Contact the job poster
MR

Mohammed Rashed Hyder

Recruiter @ LANDMARKIT LLC
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