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About the Role
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. As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking solutions from rapid prototype to production-grade agentic workflows that deliver measurable ROI. You will mentor a paired early-career engineer.
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.
Requirements
- 4-7 years in software engineering, including 2 to 3 years hands-on with GenAI/agents.
- 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.
Skills
- GenAI/agents
- Automation
- Classical ML
- Google Cloud
- Amazon Bedrock
- Salesforce
- ServiceNow
- MLOps/LLMOps
- Python
- APIs
Location
- Toronto, Ontario, Canada
Work Type
- Hybrid
- Regular - Full Time
Experience Level
- Senior
Benefits
- Competitive salary
- Medical, dental, vision and mental health benefits
- 35% discount on services
- Access to exclusive partner offers
About the Company
- Bell advances how Canadians connect with each other and the world.
- Bell Mobility offers the best and latest mobile devices, wireless services and Internet of Things solutions with top speeds, coverage and reliability on Canada’s Best National Network.
- Bell is one of Canada's Top 100 Employers.
Equal Opportunity
- Bell is 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.