Applied AI Engineer - Employee Experience

Bell; Toronto; Hybrid; CAD 100,000 - 125,000; Full time

Job summary

A leading telecommunications company is seeking an Applied AI Engineer to deliver AI-powered solutions enhancing employee experiences and interactions with corporate platforms like Microsoft 365 and SAP. The successful candidate will evaluate AI use cases, ensure technology decisions drive business outcomes, and document solution patterns. This full-time role offers a hybrid work arrangement in Toronto and other Canadian cities, focusing on innovation and continuous improvement in enterprise systems, along with a competitive compensation package and benefits.

Benefits

35% discount on services

Comprehensive medical, dental, and vision benefits

Flexible work hours

Qualifications

• 3+ years in platform engineering, AI/ML, or enterprise systems integration.
• Strong understanding of APIs, data architecture, and distributed computing.
• Experience with ML pipeline development and CI/CD.

Responsibilities

• Evaluate AI use cases and document decision frameworks.
• Map and improve the end-to-end employee journey using data.
• Drive adoption of cutting-edge AI Ops and automation tools.

Skills

Cloud platforms (Azure, AWS, GCP)

System integrations

Data architecture

Analytical and problem-solving skills

Education

Bachelor’s in Computer Science or related field

Tools

SAP

ServiceNow

Microsoft 365

Job description

About Bell

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 andiyalar 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.

Introduction

At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and machine learning technologies, you'll help us deliver better ganadores and service innovations to Canadians.

Plus, through our partnerships, you'll have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.

Summary

We are seeking an Applied AI Engineer – Employee Experience Technology and Systems, who will deliver AI‑powered solutions that transform how employees interact with corporate platforms such as Microsoft 365, SAP, and ServiceNow. The ideal candidate is enthusiastic about impacting business outcomes and employee experience, and has the chance to work on cutting‑edge AI projects. This role focuses on leveraging platform‑native AI capabilities and automation to simplify operations, enhance telemetry, and optimize end‑to‑end employee journeys. The AI Engineer will ensure technology decisions align with business outcomes, security, and compliance, while driving innovation and continuous improvement across enterprise systems. The priority is to maximize value, reduce friction, and ensure technology decisions drive measurable improvements to the employee experience. The role champions innovation, continuous improvement, and stakeholder alignment to modernize and elevate the employee experience across the organization.

Key Responsibilities

• Evaluate AI use cases and determine when to use native AI features in platforms (ServiceNow, SAP, M365) versus recommending custom solutions.
• Assess each use case for security, compliance, cost, operational fit, and measurable outcomes.
• Document decision frameworks and solution patterns for consistent technologyči decisions.
• Partner with teams to implement AI Ops capabilities, including end‑to‑end agentic workflows, telemetry and self‑he Cristo opportunities.
• Ensure every enhancement reduces friction and improves usability across platforms.Identify and resolve pain points caused by disconnected tools or inconsistent processes.
• Continuously map and improve the end‑to‑end employee journey using data and feedback.
• Work with the Technical Product Manager/Owner to define target states and reusable solution patterns for collaboration, content lifecycle, access, service fulfillment, analytics, and automation.
• Shape and prioritize the employee experience technology roadmap, writing outcome‑focused epics with KPIs and cost models.
• Align across Security, Identity and Access Management, Human Resources, Responsible AI, Employee Experience Operations, and business stakeholders.
• Partner on training, change management, and communication playbooks to accelerate modernization.
• Drive adoption of cutting‑edge AI Ops, automation, and telemetry tools.
• Stay current with vendor roadmaps (SAP, Microsoft, Serviceurum) and emerging trends in AI and enterprise automation.
• Recommend enhancements that deliver measurable business value.

Critical Qualifications

• Bachelor’s in Computer Science, Engineering, or related field; 3+ years in platform engineering, AI/ML, or enterprise systems integration.
• Expertise in cloud platforms (Azure, AWS, GCP), M365, SAP, and ServiceNow.
• Strong understanding of system integrations, APIs, data architecture, and distributed computing.
• Familiarity with automation tools, workflow orchestration, and low‑code/no‑code platforms.
• Experience with ML pipeline development, CI/CD, DevOps, and SD.
• Demonstrated ability to work collaboratively, share knowledge, and mentor others.
• Ability to design scalable, secure platform architectures and business cases.
• Strong analytical and problem‑solving skills with a data‑driven mindset.
• Support continuous improvement, innovation, and stakeholder alignment.

Preferred Qualifications

• SAP certification, Microsoft 365 credentials, ServiceNow expertise. afgelopen
• Knowledge of data privacy and security best practices, and responsible AI principles.

Adequate knowledge of French is required for positions in Quebec.

Additional Information

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Toronto • Canada : Newfoundland : St. John's • Canada : Ontario : Mississauga • Canada : Ontario : Ottawa • Canada : Quebec : Montreal
Work Arrangement: Hybrid
Application Deadline: 01/30/2026

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

Please apply directly online to be considered for this role. Applications through email will not be accepted.

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 widegrond 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.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. 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 Agency, 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 the 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 substitution. __Use taken at Call 13.page and container.

Created: Canada, ON, Toronto