Responsibilities:
- Design and architect end-to-end artificial intelligence (AI) and machine learning (ML) solutions, aligned with clients' business needs and strategic objectives.
- Assess client needs and propose tailored AI architectures, including large language models (LLM), RAG (Retrieval-Augmented Generation), AI agents, and MLOps pipelines.
- Define technology choices (cloud platforms, ML frameworks, generative AI tools) and justify trade-offs to stakeholders.
- Collaborate with data, software development, and security teams to ensure the coherent integration of AI solutions into existing systems.
- Design scalable, secure, and responsible architectures (ethical AI, bias, data governance, compliance).
- Support teams in adopting MLOps practices: automation of training pipelines, deployment, monitoring, and model retraining.
- Advise clients on cost optimization for AI model inference and training in cloud environments.
- Conduct proofs of concept (PoC) and prototypes to validate the technical feasibility of proposed solutions.
- Carry out technology watch in AI/ML and integrate the latest advancements (generative AI, LLM, multimodal) into architecture recommendations.
- Act as a technical reference and mentor for internal teams and clients in the adoption of AI technologies.
Required Qualifications:
- Minimum 7 years of experience in IT solution architecture, including at least 3 years focused on AI/ML.
- Expertise in designing AI/ML solutions on cloud platforms (Azure, AWS, or GCP), including managed services (Azure OpenAI, SageMaker, Vertex AI, etc.).
- Solid knowledge of ML/AI frameworks: TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex.
- Experience with LLMs (GPT-4, Claude, Llama) and RAG-type architectures, AI agents, and fine-tuning.
- Proficiency in MLOps practices (MLflow, Kubeflow, Azure ML Pipelines, etc.) and CI/CD pipelines for ML models.
- Knowledge of data governance principles, AI security, and algorithmic ethics.
- Excellent communication skills to explain technical concepts to non-technical stakeholders.
- Bilingual (French and English), with advanced writing and presentation skills.
Additional Assets:
- AI/ML certification on a cloud platform (e.g.: Azure AI Engineer, AWS ML Specialty, GCP Professional ML Engineer).
- Experience with modern data architectures (lakehouses, feature stores, data mesh).
- Knowledge of responsible AI tools (Responsible AI, Fairlearn, AI Explainability 360).
- Experience deploying multimodal solutions (text, image, audio, video).
- Familiarity with AI-related regulatory standards (Law 25, EU AI Act, etc.).
Your future duties and responsibilities
Required qualifications to be successful in this role
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 innovative 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.
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.
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