Cloud, Automation & AI Engineer - Senior Consultant

Job Type: Permanent Work Model: Hybrid Reference code: 135089 Primary Location: Toronto, ON All Available Locations: Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB Our Purpose At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians. By living our Purpose, we will make an impact that matters. • Have many careers in one Firm. • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness. • Learn from deep subject matter experts through mentoring and on the job coaching -- At Deloitte, your work will make an impact that matters. Are you passionate about cloud technologies, automation, infrastructure engineering, and the rapidly evolving world of Artificial Intelligence? Do you enjoy solving complex technical challenges and building scalable platforms that enable innovation at enterprise scale? As a Cloud, Automation & AI Infrastructure Engineer, Senior Consultant, you will play a key role in designing, implementing, and modernizing cloud and AI-enabled technology platforms that support some of Canada's most significant digital transformation initiatives. Working alongside a multidisciplinary team of engineers, architects, security specialists, and business leaders, you will help organizations build secure, scalable, and intelligent technology ecosystems that power the future of work. This role offers exposure to cloud transformation, infrastructure automation, DevOps practices, platform engineering, cybersecurity, application modernization, data platforms, and emerging AI infrastructure technologies. You will have the opportunity to work across diverse client environments while developing solutions that deliver measurable business value. What will your typical day look like? In this role, you will: • Lead the design and implementation of secure, scalable, and resilient cloud infrastructure and platform solutions. • Translate business and technology requirements into solution designs, technical roadmaps, and implementation plans. • Lead technical workstreams across cloud migration, infrastructure modernization, platform engineering, DevOps, automation, and AI infrastructure initiatives. • Design and implement Infrastructure-as-Code solutions, reusable deployment patterns, and automated provisioning frameworks. • Develop and enhance CI/CD pipelines and DevOps practices to improve deployment speed, quality, and reliability. • Provide technical guidance across cloud services, networking, identity, security, compute, storage, containers, and application platforms. • Support the design of infrastructure for advanced analytics, machine learning, generative AI, and other AI-enabled workloads. • Identify opportunities to automate operational processes, monitoring, configuration management, testing, compliance, and deployment activities. • Lead troubleshooting and resolution of complex technical issues across enterprise cloud environments. • Facilitate technical discussions, architecture workshops, design reviews, and solution recommendations with client and internal stakeholders. • Evaluate emerging technologies and lead proofs-of-concept to determine their applicability to client environments. • Develop technical documentation, solution architecture materials, recommendations, and client presentations. • Build trusted relationships with client stakeholders and communicate complex technical concepts to both technical and business audiences. • Coach and mentor junior team members while contributing to their technical development. • Take ownership of deliverables and technical initiatives from discovery and design through implementation, optimization, and operational transition. About the team Our Cloud Engineering and Digital Transformation professionals help organizations modernize their technology foundations through innovative cloud, automation, data, and AI solutions. We work with public and private sector clients to solve complex business challenges, enable digital innovation, and create technology platforms that support long-term growth and transformation. By combining engineering excellence with strategic thinking, our teams help clients accelerate cloud adoption, strengthen security, modernize application landscapes, and unlock the full value of Artificial Intelligence. Enough about us, let’s talk about you You are someone who has: Required Qualifications • Bachelor's degree in Engineering • Relevant professional experience in cloud, infrastructure, platform, DevOps, systems, software, data platform, or automation engineering, with experience taking ownership of complex technical deliverables. • Experience designing, implementing, or supporting solutions on Microsoft Azure, AWS, or Google Cloud Platform. • Strong understanding of infrastructure, networking, operating systems, virtualization, and distributed systems concepts. • Experience developing automation solutions using scripting or programming languages such as Python, PowerShell, Bash, or similar. • Familiarity with Infrastructure-as-Cod