As a Senior Consultant, AI Strategy at Deloitte, you will contribute to Omnia AI Strategy projects by analyzing client challenges, leading work streams, developing innovative approaches, and delivering actionable recommendations.
What You'll Do
- Design AI systems that automate complex knowledge workflows, replacing manual review, research, and compliance processes.
- Build AI-powered tools that evaluate large document sets against structured requirements, policies, and regulatory standards.
- Develop multi-agent LLM workflows that replicate analyst reasoning, incorporate internal methodologies, and accelerate decision-making.
- Deploy and scale enterprise-grade RAG and agentic chatbot systems that securely search internal knowledge bases and databases.
- Evaluate and benchmark foundation models (e.g., OpenAI, Gemini, Claude) to determine optimal trade-offs between performance, cost, and security.
- Implement AI governance practices including model evaluation, monitoring, cost tracking, and risk mitigation strategies.
- Build executive-facing dashboards that measure AI system accuracy, ROI, usage, and cost-per-query.
- Engineer scalable cloud-native architectures using serverless and containerized patterns for high availability and cost efficiency.
- Design and maintain ETL/ELT pipelines and event-driven workflows to support AI applications with clean, reliable data.
- Collaborate with product owners, analysts, and technical stakeholders to translate complex business requirements into deployable AI systems.
- Ensure systems meet strict enterprise security, compliance, and data privacy standards.
What We're Looking For
- Completed Undergraduate degree in a Business/Management/Analytics or related field.
- 3+ years building production-grade AI or data systems in enterprise or consulting environments.
- Strong Python engineering skills with experience building APIs and scalable backend services.
- Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems.
- Experience building multi-agent workflows using orchestration frameworks.
- Strong understanding of AI system evaluation, benchmarking, and cost optimization.
- Experience training/fine-tuning machine learning models.
- Experience working in regulated environments where compliance, governance, and security are critical.
- Experience architecting solutions in Azure or other major cloud providers using serverless and container-based patterns.
- Familiarity with CI/CD, infrastructure-as-code, and production deployment best practices.
- Ability to communicate technical trade-offs clearly to executives and non-technical stakeholders.
- Experience designing systems that balance model capability with enterprise security constraints.
Nice to Have
- Master’s or PhD degrees and any recognized professional certifications would be an asset.
- Eligible for a Canadian Federal Security clearance at least at an Enhanced Reliability level.
- Experience with Python, Django or similar backend frameworks.
- Experience with LangChain, LangGraph, MCP, or comparable LLM orchestration frameworks.
- Experience with REST API design and microservices architectures.
- Experience with Azure, AWS, GCP, or equivalent cloud services.
- Experience with Docker and containerized deployments.
- Experience with Terraform or other Infrastructure-as-Code tools.
- Experience with CI/CD automation pipelines.
- Experience working with OpenAI, Gemini, Claude, or other enterprise LLM providers.
- Experience building monitoring dashboards and analytics tooling for AI systems.
Technical Stack
- Python, Django or similar backend frameworks
- LangChain, LangGraph, MCP, or comparable LLM orchestration frameworks
- REST API design and microservices architectures
- Azure, AWS, GCP, or equivalent cloud services
- Docker and containerized deployments
- Terraform or other Infrastructure-as-Code tools
- CI/CD automation pipelines
- OpenAI, Gemini, Claude, or other enterprise LLM providers
Team & Environment
Part of Deloitte Omnia, Deloitte's Artificial Intelligence practice, within the AI Strategy team.
Benefits & Compensation
- Compensation range: $80,000 - $138,000
- $4,000 per year for mental health support benefits
- $1,300 flexible benefit spending account
- Firm-wide closures known as 'Deloitte Days'
- Dedicated days for learning (Development and Innovation Days)
- Flexible work arrangements
- Hybrid work structure
- Competitive base salary and variable pay opportunities
- Regular paid vacation days
Work Mode
This role offers a hybrid work structure based in Edmonton, AB.
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.
