AI/ML Architect

Eleks

About The Position

ELEKS is looking for an AI/ML Architect in Canada. ABOUT PROJECT We are looking for an experienced AI/ML Architect who will lead the design, development, and operationalization of scalable AI and machine learning solutions across the organization. This role combines deep handsâon technical expertise with strong architectural thinking, guiding teams in selecting the right technologies, shaping our AI strategy, and ensuring highâquality delivery. You will collaborate closely with data engineers, ML engineers, software developers, product teams, and business stakeholders to translate complex requirements into robust AI systems that drive measurable impact.

Requirements

7+ years of experience in data science, machine learning, or AI engineering
3+ years in a senior or principal-level architectural role
Strong proficiency in Python and common ML/AI frameworks (TensorFlow, PyTorch, Scikit-Learn, transformers libraries)
Hands-on experience with: Cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI) Data engineering tools (Spark, Databricks, Airflow, Kafka) LLM architectures, fine-tuning, embeddings, vector stores (FAISS, Pinecone, Weaviate) MLOps tools (MLflow, Kubeflow, DVC, CI/CD pipelines)
Solid understanding of distributed computing, APIs, microservices, and containerization (Docker, Kubernetes).
Strong communication skills and ability to translate complex technical concepts for non-technical audiences
Strategic mindset with experience influencing product and technical decisions
Ability to lead, mentor, and partner effectively across teams
Passion for innovation, experimentation, and continuous improvement

Responsibilities

Design end-to-end AI/ML architectures, including data ingestion pipelines, feature stores, model training, deployment patterns, and monitoring frameworks
Lead the evaluation and selection of AI/ML tools, frameworks, cloud components, and platforms
Define standards, best practices, and governance frameworks for responsible AI usage
Partner with product and engineering leadership to shape the long-term AI roadmap
Provide expert guidance across the full ML lifecycle: data preparation, modeling, experimentation, optimization, deployment, monitoring
Architect scalable solutions using Python-based ML stacks (e.g., TensorFlow, PyTorch, Scikit-Learn) and modern cloud environments (AWS, Azure, GCP).Support the development of LLM-based applications, vector database architectures, and retrieval-augmented generation (RAG) systems
Evaluate new AI capabilities (e.g., agent frameworks, fine-tuning strategies, MLOps automation)
Oversee the technical design of AI projects and ensure solution quality, reliability, and security
Work with cross-functional teams to define clear success metrics for AI initiatives
Conduct architecture reviews, code reviews, and technical deep dives
Mentor engineers and data scientists to elevate technical excellence.