AI Practise Lead (CCaaS)

Bell; Montreal; Hybrid; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision & mentalhealth

Bell service discount 35%

Job summary

Bell is seeking an AI Practice Lead for CCaaS to steer customer experience and AI-driven transformations. You will lead the Bell CCaaS AI delivery practice, act as a senior technical advisor to enterprise clients, and serve as the primary technical voice in complex projects.

You will guide delivery architectures, mentor engineering teams, and design state-of-the-art conversational and generative AI solutions using leading CCaaS platforms.

Qualifications

• CCaaS platform expertise across at least two major platforms.
• Experience architecting and deploying AI solutions in contact centers.
• Ability to advise executives while mentoring developers.
• Strong integration/API development knowledge (REST/GraphQL).
• Proven multi-year delivery leadership in enterprise IT/consulting.
• Professional certifications in Genesys Cloud, AWS or NICE CXone preferred.

Responsibilities

• AI Practice Leadership & Strategy: shape Bell’s CCaaS AI delivery practice with blueprints and playbooks.
• Technical Voice during Delivery: oversee delivery and governance on CCaaS projects.
• Strategic Client Advisory: lead discovery workshops and roadmaps for clients.
• AI & Conversational Engineering: design conversational and generative AI solutions using platform tools.
• Multi-Platform Integration: design integrations between CCaaS and CRM, WFM, and APIs.
• Migration & Transformation: plan legacy-to-cloud CCaaS migrations.

Skills

CCaaS architecture

AI/ML & NLU

Technical advisory

Integration & API patterns

Delivery leadership

Certifications (Genesys/AWS/NICE)

Tools

Genesys Cloud CX

Amazon Connect

NICE CXone

Amazon Lex/Bedrock

Dialogflow

AWS Lambda

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 [e-mail] 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

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