7/22/26
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Job Type: Permanent
Work Model: Hybrid
Reference code: 133810
Primary Location: Toronto, ON
All Available Locations: Toronto, ON
--What will your typical day look like?Key Responsibilities:
GenAI & Agent Solution Delivery
• Lead design and implementation of AI-powered applications and agents using:
o Copilot Studio (agents, copilots, orchestration)
o Azure OpenAI and Azure AI services
• Design end-to-end GenAI solutions including:
o Prompt engineering
o Retrieval-Augmented Generation (RAG)
o Vector search and embeddings
• Deliver enterprise use cases (chatbots, copilots, automation, knowledge assistants)
AI Platform & Architecture
• Architect scalable solutions leveraging:
o Azure AI Foundry for model lifecycle, orchestration, and deployment
o Integration with data platforms (Fabric, Databricks, ADLS)
• Define patterns for:
o Model integration and serving
o API orchestration and AI gateways
o Secure enterprise deployments
Responsible AI & Governance
• Implement guardrails for:
o Data privacy and security
o Prompt injection and hallucination mitigation
o Monitoring and evaluation of model outputs
• Integrate governance capabilities (Purview, policy controls, lineage)
Client Engagement
• Lead client workshops and use-case identification sessions
• Translate business needs into AI-enabled solutions and roadmaps
• Act as a trusted advisor for enterprise AI adoption and scaling
Team Leadership
• Lead and mentor a team of AI engineers and specialists
• Provide oversight across:
o Solution design
o Code quality
o Reusable GenAI patterns and accelerators
Practice Development
• Contribute to development of:
o GenAI accelerators and reusable frameworks
o Proposal solutioning and estimations
• Stay current on evolving capabilities in:
o Copilot ecosystem
o Azure AI Foundry and model innovation
About the teamWe are seeking a Manager - AI Engineering to lead the design and implementation of enterprise-grade Generative AI and Agent-based solutions leveraging Azure AI, Copilot Studio, and Azure AI Foundry.
This role combines hands-on GenAI delivery, solution architecture, and client advisory, supporting organizations in adopting AI safely and at scale.
Enough about us, let's talk about youRequired skills:
• 6-10+ years in data, AI, or software engineering
• Proven experience delivering AI/ML or Generative AI solutions
• Hands-on experience with:
o Azure AI / Azure OpenAI
o API development and integration
o Python / REST / microservices
• Experience leading technical teams or workstreams
Good to have skills
• Experience with:
o Copilot Studio / conversational AI platforms
o RAG architectures, vector databases
o Azure AI Foundry / ML lifecycle tooling
• Familiarity with:
o Data platforms (Fabric, Databricks)
o MLOps / CI-CD for AI deployment
Key Attributes:
• Strong client-facing and storytelling skills
• Ability to bridge business use cases with technical AI solutions
• Comfortable working in emerging and rapidly evolving AI space
• Bias toward pragmatic, enterprise-ready AI delivery
Total RewardsThe salary range for this position is $84,000 - $175,000, 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. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.
