Data Scientist II-Agentic AI

About

We are seeking a highly motivated and analytical Data Scientist II – Agentic AI to join our team. The ideal candidate will have a strong foundation in data science principles, experience working with LLMs, and a passion for developing impactful AI solutions. The team focuses on solutions that improve technical troubleshooting / support for technicians and customers. This role offers the opportunity to work on innovative, high‑impact data products within a collaborative team environment. You will contribute to the architecture, development, and deployment of cutting‑edge AI‑powered applications, collaborating within our expert team and gaining practical experience from senior mentorship.

Key Responsibilities

• Design and implement single and multi‑agent systems that can reason, plan, and act to solve complex user problems.
• Define agent behavior, memory, and tool‑use strategies with a strong emphasis on correctness, controllability, and user experience.
• Implement AI protocols and frameworks such as ADK/Langchain for A2A orchestration.
• Integrate agents with internal/external systems (knowledge bases, ticketing, diagnostics) via APIs, MCP, and tool orchestration.
• Design persistent memory and state management for multi‑turn dialogue.
• Build guardrails, safety logic, and human‑in‑the‑loop escalation paths — critical for a support domain where agents' advising is required.
• Develop frameworks for evaluation and observability (LLM as a judge, test cases, agent evaluations, tracking agent quality over time).
• Optimize system performance by analyzing model behavior and failure modes, turning qualitative issues into measurable signals for improvement.

Critical Qualifications

• Bachelor's degree in computer science, Data Science, Engineering, Applied Math, or related fields. Relevant experience may be considered in lieu of a degree.
• 3+ years of relevant work experience in data science and/or machine learning.
• Advanced proficiency in SQL and Python.
• Ability to write clean, efficient, and reusable code.
• Agentic or RAG systems experience: You've built at least one system involving tool use, retrieval‑augmented generation, multi‑step reasoning, or autonomous agents — not just single‑shot completions.
• Hands‑on LLM experience: You've worked directly with LLM APIs (OpenAI, Gemini, Anthropic, etc.) and understand the practical realities — prompt design, context management, latency, cost, and failure modes.
• Agile Mindset & Collaboration: Proven experience delivering literately, collaborating in a team environment, communicating clearly.

Preferred Qualifications

• Master's degree in a discipline such as Computer Science, Data Science, Engineering, Applied Math, or related field.
• Certification in cloud‑based data platforms and services (e.g., GCP).
• Familiarity with agent frameworks (LangGraph, CrewAI, ADK, etc.).
• Experience in a Cloud environment (GCP is preferred, but cloud skills are transferable) and building agentic workflows.
• Exposure to modern DevOps and MLOps practices, including CI/CD, containerization, and orchestration.
• Domain experience in tech support or knowledge management systems.

Additional Information

Adequate knowledge of French is required for positions in Quebec.

Position Details

• Position Type: Management
• Job Status: Regular – Full Time
• Location: Canada – Ontario – Toronto | Canada – Ontario – Mississauga
• Work Arrangement: Hybrid (must be based in Canada and report to a set Bell office for a minimum of 3 days a week)

Application

• Application Deadline: 04/17/2026
• Apply directly online; applications through email will not be accepted.

Benefits & Culture

• Comprehensive compensation package with competitive salary.
• Medical, dental, vision, and mental health benefits available immediately.
• 35% discount on Bell services and exclusive partner offers.
• Inclusive, accessible workplace where all team members feel valued, respected, supported, and that they belong.

Accessibility & Accommodations

• Bell encourages individuals who may require accommodations during the hiring process to let us know.
• For a confidential inquiry, email your recruiter or recruitment@bell.ca.
• Accessibility feedback: complete the Accessibility feedback form or visit the Accessibility page for other contact methods.

Privacy & AI Use

• Artificial intelligence may be used to assess parts of your application. Review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada’s Top 100 Employers.