AI Practise Lead (CCaaS)

Bell

Mississauga

Hybrid

CAD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
Medical, dental, vision benefits
Bell services discount (35%)
Hybrid work arrangement

Job summary

Bell is seeking an AI Practice Lead for CCaaS to drive CX and contact center AI transformations. You will lead Bell’s BBM Professional Services delivery practice, guide internal teams, and serve as the primary technical voice on complex projects.

You will design state-of-the-art conversational and generative AI solutions using major CCaaS platforms, and steer multi-platform integrations with Salesforce, ServiceNow and Dynamics. A senior, strategic leader role in Canada’s hybrid environment.

Qualifications

  • Extensive hands-on architectural and delivery experience with CCaaS platforms (Genesys Cloud CX, Amazon Connect, NICE CXone).
  • Experience architecting AI solutions in contact centers, including intelligent IVR, chatbots, and LLM integration.

Responsibilities

  • Shape, grow, and mature Bell’s CCaaS AI delivery practice with architecture blueprints and best practices.
  • Provide technical delivery governance on high-value CCaaS projects and mentor engineering teams and SIs.
  • Advise enterprise and public sector clients on CCaaS AI roadmaps and business value of cloud CX migrations.
  • Design and oversee Conversational AI, Generative AI integration, and speech/interaction analytics.
  • Design complex integrations between CCaaS platforms and CRM systems (Salesforce, ServiceNow, Microsoft Dynamics) and WFM.

Skills

CCaaS platform expertise
AI, ML & NLU competency
Technical voice & advisory skills
Integration & development proficiences
Proven delivery experience
Relevant certifications

Job description

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

We provide a supportive and inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

Join us. You belong at Bell.

Summary

As the AI Practice Lead for CCaaS, you will be the definitive technical authority and strategic voice driving customer experience (CX) and Contact Center AI transformations. Operating within the BBM Professional Services delivery team, you will split your impact between shaping our internal AI delivery practice, acting as a senior technical advisor for enterprise clients, and serving as the primary technical voice during complex project deliveries. This role requires a visionary technical leader who can bridge the gap between complex business strategies and modern cloud contact center architectures. You will lead delivery architectures, guide engineering teams, and design state-of-the-art conversational and generative AI solutions utilizing market-leading CCaaS platforms.

Key Responsibilities
  • AI Practice Leadership & Strategy: Help shape, grow, and mature Bell’s CCaaS AI delivery practice. Establish architectural blueprints, delivery playbooks, and best practices for conversational AI, agent‑assist tools, and generative AI deployments.
  • Technical Voice during Delivery: Provide active delivery oversight and technical governance on high‑value CCaaS projects. Ensure engineering teams and external system integrators (SIs) build robust, scalable integrations that align with Bell’s technical benchmarks and deployment timelines.
  • Strategic Client Advisory: Act as a trusted advisor to enterprise and public sector clients. Lead discovery workshops, help clients define their CCaaS AI roadmaps, and articulate the business value of complex cloud CX migrations and AI integrations.
  • AI & Conversational Engineering: Design and oversee the implementation of Conversational AI (NLU voice/chatbots), Generative AI (LLM integration, agent knowledge‑assist), and speech/interaction analytics using platform‑native tools (e.g., Genesys AI, Amazon Lex/Bedrock, NICE Enlighten, or Google CCAI).
  • Multi‑Platform Integration: Design complex integrations between CCaaS platforms and broader cloud ecosystems, CRM systems (such as Salesforce, ServiceNow, and Microsoft Dynamics), Work Force Management (WFM) platforms, and custom APIs.
  • Migration & Transformation: Architect technical migration strategies from legacy on‑premise contact center environments (e.g., Avaya, Cisco) to modern, AI‑powered cloud CCaaS architectures.
  • Pre‑Sales Collaboration: Partner with sales and product leaders during the early stages to scope requirements, validate technical feasibility, estimate delivery effort, and craft compelling technical proposals.
Critical Qualifications
  • CCaaS Platform Expertise: 5+ years of hands‑on architectural and delivery experience with at least two of the primary CCaaS platforms: Genesys Cloud CX, Amazon Connect, or NICE CXone.
  • AI, ML & NLU Competency: Demonstrated experience architecting and deploying AI solutions in a contact center environment, including intelligent IVR flows, conversational bots (using Amazon Lex, Genesys Dialog Engine, or Google Dialogflow), Generative AI/LLM‑assisted search (e.g., Bedrock), and interaction analytics (e.g., Contact Lens, Enlighten).
  • Technical Voice & Advisory Skills: Excellent consulting, presentation, and communication skills. Proven capability to advise C‑level executives on strategy, while maintaining the technical depth needed to mentor and guide developers in the weeds.
  • Integration & Development Proficiencies: Solid understanding of modern integration patterns, API development (REST/GraphQL), data streaming, and helper/scripting languages (e.g., Node.js, Python) for serverless integrations (e.g., AWS Lambda).
  • Proven Delivery Experience: 7+ years in Enterprise IT/Consulting Solution Architecture, with 3+ years dedicated to cloud‑based contact center delivery, technical team leadership, and legacy‑to‑cloud migrations.
  • Relevant Certifications: Technical certifications in Genesys Cloud (e.g., Professional/Architect), AWS (e.g., Solutions Architect Pro, Specialty certifications), or NICE CXone are highly preferred.

Adequate knowledge of French is required for positions in Quebec.

Additional Information

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 11/18/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well‑being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Mississauga

Bell, one of Canada's Top 100 Employers.

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