AI Solutions Architect
Job Type: Permanent
Work Model: Hybrid
Reference code: 126891
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, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.
By living our Purpose, we will make an impact that matters.
- Have many careers in one Firm..
- Be expected to share your ideas and to make them a reality.
- Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
--
About the team
We are seeking a highly experienced and innovative AI Solutions Architect with a strong foundation in traditional solution architect, full-stack development and cloud technologies with solid exposure and experience integrating enterprise platforms. In this role, you will be responsible for designing and implementing end-to-end AI-driven solutions while ensuring seamless integration with enterprise systems and cloud platforms. This position requires expertise in both traditional IT systems and cutting-edge AI/ML technologies, with a focus on building scalable, secure, and efficient architectures that leverage cloud-native services.
The ideal candidate will have deep knowledge of AI/ML models, modern development frameworks, and cloud services (particularly Azure), as well as experience integrating these with traditional enterprise platforms and infrastructures.
What will your typical day look like?
Key Responsibilities:
• AI Solutions Design: Lead the design, development, and deployment of AI and machine learning solutions, integrating them with existing enterprise systems or building cloud-native architectures.
• Enterprise Architecture: Architect traditional, cloud, and hybrid solutions, incorporating both on-premise and cloud-based systems (Azure) that support AI and full-stack applications.
• Full-Stack Development Leadership: Oversee full-stack development projects, guiding the design and implementation of both front-end (React, Angular) and back-end (Node.js, .NET) components, while integrating AI-powered features.
• Cloud Integration (Azure): Architect and implement solutions using Microsoft Azure services (e.g., Azure Machine Learning, Azure Kubernetes Service, Azure App Services, Cosmos DB) to develop, deploy, and scale AI/ML models and applications.
• AI/ML Pipelines: Design and implement AI model development pipelines, including data ingestion, model training, and deployment, while ensuring integration with enterprise data sources.
• Traditional and Modern Systems Integration: Architect solutions that seamlessly integrate traditional enterprise systems (e.g., CRM, ERP, data warehouses) with AI/ML models and modern full-stack applications.
• Security and Compliance: Ensure that AI solutions and full-stack architectures comply with security best practices, data governance, and industry-specific regulations, both in on-premise systems and cloud environments.
• Data Engineering: Design data architectures and pipelines to support AI and ML initiatives, ensuring high availability, performance, and scalability.
• Technical Leadership: Provide technical leadership across AI, cloud, and full-stack development teams, guiding best practices, architecture reviews, and strategic decisions.
• DevOps Integration: Implement DevOps practices (CI/CD, infrastructure as code) for AI model deployment and full-stack application development using tools like Azure DevOps, Docker, Kubernetes, and Terraform.
• Collaboration and Stakeholder Engagement: Work closely with business stakeholders, developers, and data scientists to translate business needs into scalable technical solutions.
• Documentation and Governance: Develop architecture documentation, technical specifications, and maintain governance over AI and cloud solutions to ensure alignment with business objectives and technical standards.
Enough about us, let's talk about you
Required Skills and Qualifications:
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience: 8+ years of experience in solutions architecture, with at least 3 years focused on AI/ML solutions and a background in full-stack development.
• AI/ML Expertise: Strong understanding of machine learning models, deep learning, natural language processing (NLP), computer vision, and AI tools (e.g., TensorFlow, PyTorch).
• Azure Cloud Expertise: Proven experience with Microsoft Azure services (e.g., Azure App Services, Functions, AKS, Azure Machine Learning, Azure DevOps) and deploying AI solutions in cloud environments.
• Full-Stack Development: Strong knowledge of frontend (React, Angular) and backend (Node.js, .NET, Java) development, with experience building and deploying full-stack applications.
• Traditional Architecture: Experience with traditional IT infrastructure (e.g., databases, middleware, networking) and system integration across enterprise systems.
• Data Engineering: Familiarity with data architecture, ETL pipelines, and databases (SQL, NoSQL), along with integrating data sources for AI model development and full-stack applications.
• DevOps Practices: Experience with containerization (Docker, Kubernetes), automation, and CI/CD pipelines for both AI model deployment and application development.
• Security and Compliance: Understanding of security frameworks and compliance requirements, including identity management, data encryption, and secure coding practices.
• Problem Solving: Strong analytical skills and the ability to architect complex technical solutions for both AI/ML and full-stack systems.
• Leadership and Communication: Proven ability to lead and mentor teams, introduce new architectures, collaborate with cross-functional stakeholders, and communicate complex technical concepts to both technical and non-technical audiences.
Preferred Skills:
• Certifications: Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer, or other relevant certifications.
• Experience with AI Model Governance: Experience with AI governance, bias detection, and explainability in AI models.
• Cloud Migration: Experience leading cloud migration projects, transforming legacy systems to cloud-native architectures, and integrating AI capabilities.
• Agile Methodologies: Familiarity with Agile and Scrum practices for managing software development and AI projects.
*Due to the nature of the role having interactions with National & Global clients, English is required for this position.
Total Rewards
The salary range for this position is $85,000 - $156,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as "Deloitte Days"), flexible work arrangements and a hybrid work structure.
Our promise to our people: Deloitte is where potential comes to life.
Be yourself, and more.
We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.
Diverse perspectives and life experiences make us better. Whoever you are and wherever you're from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be
Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.
We are uniquely able to offer you new challenges and roles - and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours
At Deloitte, we are all about doing business inclusively - that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.
We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).
By applying to this job you will be assessed against the Deloitte Global Talent Standards. We've designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.