At CGI Montréal, our Cloud and Artificial Intelligence practice is growing rapidly. We support large enterprises and organizations across industries and sectors in their digital transformation, cloud modernization, and generative AI initiatives. By joining our team, you will help design innovative, secure, and scalable solutions tailored to our clients’ complex challenges.

Your future duties and responsibilities

Responsibilities

- Design, develop and deploy generative AI and agentic applications (assistants, RAG, multi-agent workflows and process automation) aligned with clients’ business needs, in accordance with the standards and guardrails defined by the solution architect.
- Develop LLM-based applications and AI agents capable of using tools and APIs, including orchestration, memory, error recovery and human intervention.
- Build data pipelines for RAG: ingestion, chunking, embeddings, vector indexing, hybrid search and reranking.
- Implement and maintain CI/CD pipelines for AI applications, including automated testing, model evaluation, progressive deployment and rollback.
- Manage infrastructure as code and container platforms (Docker, Kubernetes) in cloud environments.
- Integrate automated security controls into delivery pipelines (SAST, SCA, secrets detection, container and IaC scanning, SBOM), in collaboration with application security teams.
- Implement AI-specific protections: input and output filtering, prompt-injection protection, agent permission management and personal information protection.
- Build evaluation datasets and automated response-quality tests, and instrument applications for observability (traces, latency, token consumption and costs).
- Operate AI solutions in production: monitoring, incident management, cost control and continuous improvement.
- Document solutions, share reusable patterns with internal teams and stay current with developments in generative AI, agent frameworks and DevSecOps tools.

Required qualifications to be successful in this role

Required qualifications

- At least 5 years of experience in software development or DevOps engineering,



including at least 2 years focused on generative AI or LLM-based solutions.
- Excellent command of Python and at least one other language (TypeScript, Java, C# or Go).
- Hands-on experience with managed LLM services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and models (GPT, Claude, Llama, Mistral).
- Strong knowledge of agent and orchestration frameworks (LangChain / LangGraph, Semantic Kernel, LlamaIndex), RAG architectures, vector databases, tool calling and agent protocols such as MCP.
- Proficiency with DevSecOps practices and tools: Git, CI/CD (GitHub Actions, GitLab CI, Azure DevOps), Docker, Kubernetes and Terraform.
- Experience with at least one major cloud platform (Azure, AWS or GCP).
- Knowledge of secure development practices, application security tools (SAST, SCA, secrets detection) and AI-specific security risks (OWASP Top 10 for LLM applications).
- Ability to explain the capabilities and limitations of AI to non-technical stakeholders.
- Bilingual in French and English.

Assets
- Cloud, AI or security certification (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning Engineer, Certified Kubernetes Administrator, Certified DevSecOps Professional).
- Experience with LLM evaluation and observability tools (Langfuse, LangSmith, OpenTelemetry).
- Daily use of AI coding agents and AI-assisted development tools.
- Experience delivering solutions in regulated environments (public sector, financial services, healthcare).
- Knowledge of AI-related standards and regulatory frameworks (Québec Law 25, EU AI Act, NIST AI RMF, etc.).

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications.



Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current salary range is CAD $80,000–$155,000 per year.

This role is an existing vacancy.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop creative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team—one of the largest IT and business consulting services firms in the world.

📌 GenAI / Agentic Applications and DevSecOps Engineer (Montreal)
🏢 CGI
📍 Montreal