As a **Senior Technical architect with Cloud/ ML experience** , you will make an impact by leading the design of end-to-end cloud-native and ML-powered solutions across enterprise applications **In this role, you will** + **Architectural Design:** Lead the design of end-to-end cloud-native and ML-powered solutions across enterprise applications. + **Cloud Strategy:** Define and implement cloud architecture strategies using platforms such as AWS, Azure, or Google Cloud. + **ML Integration:** Architect and oversee the integration of ML models into production systems, ensuring scalability, performance, and maintainability. + **Technical Leadership:** Guide engineering teams on best practices in cloud architecture, DevOps, MLOps, and data engineering. + **Stakeholder Collaboration:** Work with business leaders, data scientists, and developers to align technical solutions with business goals. + **Security & Compliance:** Ensure all solutions meet enterprise security standards and regulatory compliance requirements. + **Innovation:** Evaluate emerging technologies and drive innovation in AI, cloud services, and automation. **What you’ll need to succeed (required skills)** + Bachelor’s or master’s degree in computer science, Engineering, or related field. + 10+ years of experience in software architecture and development. + 5+ years of experience with cloud platforms (AWS, Azure, or GCP). + 3+ years of experience in designing and deploying ML solutions. + Strong knowledge of cloud-native architectures, microservices, containers (Docker, Kubernetes), and serverless computing. + Proficiency in Python, Java, or similar languages used in ML and cloud development. + Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow). At Cognizant, we're eager to meet people who believe in our mission and can make an impact in various ways. We strongly encourage you to apply even if you only meet the required skills listed. Consider what transferable experience and skills make you a unique applicant and help us see how you'd be beneficial to this role. **_Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future._** **Working arrangements** We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring **3 days a week** in a client office in **Toronto, ON** . Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. _Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.