AI Engineer
Cognizant • toronto, on • Posted July 16, 2026
Position Overview
Responsibilities
Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation
Design and optimize data models, feature stores, and storage patterns for AI/ML workloads
Implement DataOps and MLOps automation (CI/CD, data validation, model deployment, monitoring, drift detection)
Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
Develop and integrate AI services into secure, production-grade environments
Design and implement AI systems architecture best practices and standards across the organization
Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications
Provide infrastructure design, optimization, and monitoring support
Translate business requirements into technical solutions through cross-functional collaboration
Ensure code quality, system reliability, scala...
Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation
Design and optimize data models, feature stores, and storage patterns for AI/ML workloads
Implement DataOps and MLOps automation (CI/CD, data validation, model deployment, monitoring, drift detection)
Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
Develop and integrate AI services into secure, production-grade environments
Design and implement AI systems architecture best practices and standards across the organization
Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications
Provide infrastructure design, optimization, and monitoring support
Translate business requirements into technical solutions through cross-functional collaboration
Ensure code quality, system reliability, scala...