Data Scientist II-Agentic AI

Req Id: 427850

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

Summary

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 ML Ops practices, including CI/CD, containerization, and orchestration.
• Domain experience in tech support or knowledge management systems.

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 : Ontario : Mississauga

Work Arrangement: Hybrid

Application Deadline: 04/17/2026

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 ser