AI ML Architect

New

CanadaFull-TimeSenior

Salary not disclosed

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Job Details

Languages: English
Experience: 12+ years
Required Skills: DockerPythonCloud ComputingKubernetesMachine LearningMLOpsGenerative AI

Master’s degree in Computer Science, Engineering, Mathematics, or related field.
12+ years of industry experience in machine learning or data science.
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration).
Deep experience with Python, scikit-learn, XGBoost, PyTorch, TensorFlow.
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, and fine-tuning.
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines).
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes).
Experience in Data Governance, Model Risk Management, and compliance.
Strong leadership and communication skills.
Demonstrated ability to think strategically and drive innovation.

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps.
Serve as a strategic technical advisor to clients, leading solution design discussions and presenting architectures.
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI).
Lead the integration of Generative AI leveraging LLMs into enterprise applications.
Design retrieval-augmented generation (RAG) systems with vector databases.
Guide teams on MLOps frameworks for CI/CD, model versioning, and monitoring.
Evaluate build-vs-buy decisions and benchmark AI tools/platforms.
Mentor technical teams and guide solution architects, data engineers, and ML engineers.
Ensure ethical and responsible AI practices including bias detection and governance.
Collaborate with leadership to align machine learning strategies with business objectives.

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