AI Solutions Architect
$85k - $156k per yearDeloitte
Job Type: Permanent
Work Model: Hybrid
Reference code: 132266
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Burlington, ON; Kitchener, ON
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
--
What will your typical day look like?
The AI Solutions Architect – Generative AI is responsible for designing, building, and guiding delivery of enterprise-grade GenAI solutions that solve real business problems at scale.
This role combines hands-on solution architecture, platform thinking, and technical leadership. You will define patterns across LLMs, Retrieval-Augmented Generation (RAG), multi-agent systems, and orchestration frameworks while ensuring solutions are secure, scalable, cost-aware, and production-ready. Key Responsibilities: Generative AI Architecture• Design and deliver end-to-end GenAI solutions from concept through production.
• Define architectures leveraging LLMs, RAG, agents, and orchestration frameworks.
• Architect multi-model strategies across GPT, Anthropic, Gemini, and related
model ecosystems.
• Design multi-agent patterns, tool integration frameworks, and orchestration approaches.
• Translate business needs into scalable, reusable architecture patterns. Platform & Cloud Enablement
• Architect solutions primarily on Microsoft Azure, including:
o Azure OpenAI
o Azure AI Search / vector databases
o Azure Functions, Container Apps, Kubernetes
• Design and implement solutions using Microsoft Copilot Studio and extensibility patterns.
• Leverage Google AgentSpace and related agent platforms where appropriate.
• Define integration patterns with enterprise systems and APIs.
• Ensure solutions follow cloud-native, resilient, observable, and cost-aware design principles. Engineering & Production Readiness
• Apply strong software engineering fundamentals:
o API design and integration
o CI/CD and DevOps practices
o Testing, monitoring, evaluation frameworks
• Establish patterns for prompt management, model evaluation, and versioning.
• Implement cost optimization strategies (token management, routing, caching).
• Partner with engineering teams to ensure production-grade implementations. AI Governance & Responsible Use
• Embed security, privacy, compliance, and responsible AI guardrails into architecture.
• Define patterns for human-in-the-loop workflows and risk mitigation.
• Collaborate with security, legal, and risk stakeholders to align with enterprise standards. Leadership & Enablement
• Act as a trusted technical advisor to delivery teams and stakeholders.
• Present architecture options and trade-offs clearly to technical and executive audiences.
• Mentor engineers and architects in GenAI patterns and best practices.
• Contribute to reusable accelerators, reference architectures, and platform standards.
About the team
The Enterprise Architecture team comprises of enterprise, solution, data and AI architects that define and scales solutions and strategies across the organization. We operate at the intersection of architecture, engineering, and business transformation — designing reusable patterns, production-ready platforms, and enterprise guardrails that enable responsible AI adoption at scale.
Our focus is not isolated proofs of concept. We build foundational capabilities that integrate into core platforms and products, accelerate delivery teams, and shape the organization’s operating model. This role reports into Enterprise Architecture and partners closely with engineering, data, security, and business stakeholders across multiple portfolios.Enough about us, let’s talk about you
Required:
• 5+ years of experience in software engineering, solution architecture, or relatedtechnical roles.
• Demonstrated experience designing and delivering cloud-based solutions in
production environments.
• Hands-on experience building or architecting Generative AI solutions using LLMs.
• Strong expertise in Azure cloud architecture and services.
• Practical experience with:
o RAG architectures and vector search
o Multi-model ecosystems (e.g., GPT, Anthropic, Gemini)
o Agent-based architectures and orchestration frameworks
• Experience designing secure, scalable, and cost-aware cloud solutions.
• Experience with Microsoft Copilot Studio and Copilot extensibility patterns.
• Experience with token cost modeling and AI performance optimization.
• Knowledge of model evaluation frameworks, benchmarking, and drift monitoring.
• Strong grounding in API design, DevOps practices, and modern engineering patterns.
• Ability to translate business requirements into clear technical designs.
• Excellent communication and stakeholder management skills.
• Experience with Google AgentSpace or other enterprise
agent platforms.
• Azure AI Fundamentals and Solution Architect Certifications
• GCP Certifications
• TOGAF
• Experience implementing multi-agent systems in production environments.
• Exposure to enterprise AI governance, compliance, and risk management frameworks.
• Experience contributing to enterprise platform strategy or AI operating models.
• Background in data engineering, embeddings pipelines, or semantic search optimization. What Success Looks Like
• GenAI solutions move efficiently from PoC to production with clear architectural standards.
• Reusable patterns and accelerators reduce duplication and accelerate delivery teams.
• AI solutions are secure, cost-managed, and aligned with enterprise governance.
• Stakeholders understand both the value and risks of GenAI initiatives.
• The organization’s AI capabilities mature through structured architecture
and responsible scaling.
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 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 beSome 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 View email address on careers.deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or View email address on careers.deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).
When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.
Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.
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