Senior Forward-Deployed AI Engineer

Bell; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Medical, dental, vision and mental健康

35% discount on Bell services

Exclusive partner offers

Job summary

Bell is seeking an experienced Technology Services Applied AI leader to scope and deliver AI-driven solutions across enterprise systems. You will design, build, and ship production-grade AI agents and automation, partnering with cross-functional teams and cloud platforms to drive adoption and scalability.

Ideal candidates have 4–7 years in software engineering with GenAI/agents, strong Python/API skills, and experience deploying AI in cloud environments.

Qualifications

• 4–7 years in software engineering with hands-on GenAI/agents (2–3 years).
• Experience designing AI systems on a major cloud platform (e.g., Google Cloud).
• Production experience building agentic apps and MCP servers; strong data-pipeline skills.

Responsibilities

• Scope problems with business partners and decide the right solution approach.
• Partner with stakeholders to ensure adoption and scalability across domains.
• Lead cross-unit squads and own engagements end-to-end.
• Design and ship production-grade AI agents integrated with enterprise systems (Google Cloud, Bedrock,etc).
• Mentor an early-career engineer on engagements.
• Own evaluation standards and quality bar depending on experience.

Skills

GenAI/agents

Cloud platforms

MLOps/LLMOps

Python

APIs & integration

Vector databases

Multi-agent workflows

Tools

Google Cloud

Salesforce

ServiceNow

Job description

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

The Bell Mobility team offers the best and latest mobile devices, wireless services and Internet of Things solutions to consumer and business customers, with the top speeds, coverage and reliability on Canada’s Best National Network. We love to innovate, embrace big challenges, and live for the newest technology

Summary

The Technology Services Applied AI team is a forward-deployed engineering team that embeds across Bell to build, ship, and integrate classical ML, AI agents, and automation into existing enterprise systems.

Key Responsibilities

• Scope the problem with business partners and decide how to solve it: the right approach across rules, automation, classical ML, and GenAI/agents, and where the solution should live across the systems landscape.
• Partner with stakeholders to produce solutions with high adoption rates and scalability for ease of growth and reusability across business domains.
• Embed into cross-unit squads and lead application builds, owning each engagement end-to-end.
• Design, build, and ship production-grade AI agents and automation, integrating with existing enterprise systems and platforms (e.g., Google Cloud, Amazon Bedrock, Salesforce, ServiceNow).
• Mentor and pair with an early-career engineer on the engagement.
• Depending on experience, own the team's evaluation standards and quality bar.

Critical Qualifications

• 4-7 years in software engineering, including 2 to 3 years hands-on with GenAI/agents.
• Experience designing and deploying AI systems on a major cloud platform (e.g., Google Cloud).
• Production experience building and iterating upon agentic applications and the capabilities that power them: agent skills and tools, Model Context Protocol (MCP) servers, and multi-agent workflows, taken from prototype to production.
• Experience building data pipelines over structured and unstructured data, using vector databases and retrieval-augmented (RAG) architectures for enterprise AI.
• Strong software engineering foundation, including Python, APIs, and integration with production enterprise systems.
• A habit of staying current with fast-moving LLM and agent capabilities, patterns, and tooling.

Preferred Qualifications

• Experience automating on enterprise platforms (Google Cloud, Amazon Bedrock) and familiarity with our key experience platforms (Google, Salesforce, ServiceNow).
• Open-source contributions or published work in the agent or LLM space.
• Proven record shipping AI products with measurable financial outcomes (e.g., cost reductions, productivity gains, etc.)
• Experience setting up evaluation and observability for agentic systems.
• Prior client-facing, consulting, or forward-deployed delivery experience.
• Exposure to MLOps/LLMOps for deploying and monitoring in production.

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

Work Arrangement: Hybrid

Application Deadline: 10/09/2026

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.

• competitive salary
• medical, dental, vision and mental health benefits
• 35% discount on our services
• 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 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.

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