Senior Forward-Deployed AI Engineer, CP3

BCE Inc.$100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-10 years in software engineering, with a focus on AI and automation
  • Hands-on experience with GenAI and agentic applications
  • Proficient in building data pipelines with structured and unstructured data
  • Strong programming skills in Python and familiarity with APIs
  • Knowledge of cloud platforms and enterprise system integrations

Responsibilities

  • Embed with transformation teams to lead software development efforts
  • Scope business problems and determine appropriate AI solutions
  • Design and deploy production-grade AI agents and automation
  • Guide bespoke modelling use cases to the central data science team
  • Mentor junior engineers to strengthen team capabilities

Benefits

  • Comprehensive medical, dental, vision, and mental health benefits
  • 35% discount on services for team members
  • Access to exclusive partner offers
  • Support for work-life balance with flexible hours
  • Commitment to an inclusive and accessible workplace
Full Job Description
Req Id: 431272

Become an integral part of our Customer Experience team, where you will be at the forefront of shaping our customer journeys. You will build on Bell's Strategic Imperative to Champion Customer Experience and reinforce our commitment to put the customer first in everything we do. Design innovative, customer-centric processes, policies, products and services, while upholding our Customer-First Commitments to make it easier for customers to do business with Bell.

As part of our team, you will be at the heart of our customer experiences.

Summary

The Technology Services Applied AI team is a forward-deployed engineering team that embeds across Bell to build, ship, and integrate AI agents and automation into existing enterprise systems, and drives the innovation and build funnel for agentic software development.
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 (such as multi-agent systems and Model Context Protocol servers) that deliver measurable ROI. Along the way, you will mentor a paired early-career engineer.

Key Responsibilities

  • Embed into transformation squads and lead agentic software development builds, owning each engagement end-to-end.
  • 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.
  • 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).
  • Recognize when a use case requires bespoke modelling and route it to the central data science team.
  • 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

  • Production experience building 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 designing and deploying AI systems on a major cloud platform (e.g., Google Cloud).
  • 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

  • 5 to 10 years in software engineering, including 2 to 3 years hands-on with GenAI/agents.
  • Professional experience at a hyperscaler or startup considered an asset
  • 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.

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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 : Toronto || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 07/17/2026

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.

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 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.

Created: Canada, ON, Mississauga

About BCE Inc.

BCE Inc., a telecommunications and media company, provides wireless, wireline, Internet, and television (TV) services to residential, business, and wholesale customers in Canada. It operates in three segments: Bell Wireless, Bell Wireline, and Bell Media. The Bell Wireless segment offers wireless voice and data communications products and services, including 40 live and on-demand channels on smartphones and tablets; roaming services; push-to-talk, field service management, worker safety, and mobility management tools and services; and asset management, smart buildings, smart cities, fleet management, and other Internet of Things services. The Bell Wireline segment provides data, including Internet access and Internet protocol television; and local telephone, long distance, and other communications services and products, as well as satellite TV and connectivity services. This segment also offers security and automation services for homes and businesses through its Bell Smart Home security and automation offering. The Bell Media segment provides conventional TV, specialty TV, pay TV, and streaming services; and digital media, radio broadcasting, out-of-home advertising, and sports and entertainment production services. BCE Inc. was founded in 1880 and is headquartered in Verdun, Canada.
Learn more about BCE Inc.
Size
49,781 employees
Market Cap
$40 billion
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