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About the Role
The AI & Cloud Infrastructure Specialist will be responsible for the infrastructure and controls underpinning our internal agentic AI platform, our portfolio of AI services, our enterprise API gateway, and our LLMs on Azure AI Foundry, OpenAI, and Anthropic.
Responsibilities
- Design, deploy, and maintain secure, scalable cloud infrastructure supporting AI workloads, including containerized environments, relational and vector databases, object storage, secret management, logging, and application monitoring.
- Architect and manage network services for AI platforms, including virtual networks, private endpoints, DNS, subnets, firewall routing, ingress controls, and cross-service connectivity.
- Develop and maintain Infrastructure as Code (Terraform) templates and deployment pipelines.
- Manage the enterprise API management layer for AI services, including API publishing, versioning, backend configuration, credential management, and policy enforcement.
- Implement secure authentication and authorization models, including on-behalf-of-flows and shared service identities.
- Publish and maintain AI models, internal tools, third-party services, and enterprise endpoints through the API gateway.
- Troubleshoot and resolve API gateway and connectivity issues.
- Provision, secure, and administer AI platform environments, ensuring private connectivity, restricted access, and compliance with security standards.
- Manage the complete AI model deployment lifecycle, from provisioning to production operations and ongoing maintenance.
- Collaborate with Information Security team to design and administer identity and access controls for AI systems, including application registrations, permissions, and delegated access models.
- Manage Key Vaults, credentials, secret inventories, and private endpoint configurations.
- Design and maintain secure mailbox and workload-specific access models for automation and service identities.
- Design and manage integrations between AI agents and enterprise systems using the Model Context Protocol (MCP) and related frameworks, connecting platforms such as document management, CRM, matter and deal management, enterprise data, legal research, marketing, and financial systems.
- Collaborate with AI developers, Information Security, and business stakeholders to assess, approve, and implement secure integrations, ensuring appropriate authentication, permissions, and governance.
- Partner with vendors to design integration architectures, address connectivity and authentication challenges, and support the successful deployment of AI-enabled solutions.
- Implement and maintain monitoring, logging, diagnostics, custom metrics, and cost-management telemetry across the AI ecosystem.
- Serve as an escalation point for AI platform incidents and service disruptions.
- Conduct root cause analysis and document incident findings and remediation plans.
Requirements
- 8+ years of experience in cloud infrastructure, platform engineering, or DevOps, including hands-on responsibility for production AI, machine learning, or LLM-based solutions.
- Proven experience designing, deploying, securing, and operating cloud environments in regulated and confidentiality-sensitive environments.
- Demonstrated ability to act as a technical subject matter expert, influencing technical teams and senior business stakeholders.
- Experience in a law firm, professional services, financial services, or other regulated industry is considered an asset.
- Familiarity with enterprise business systems such as document and email management, CRM, practice and matter management, time and billing, virtual data rooms, and their integration with AI solutions.
- Experience administering enterprise AI platforms and assistants, as well as enterprise data, analytics, and reporting solutions.
Skills
- Microsoft Azure
- Compute
- Networking
- Storage
- Security
- Monitoring
- Infrastructure as Code
- Identity and Access Management
- Entra ID
- OAuth 2.0
- Application Permissions
- Managed Identities
- Role-Based Access Control (RBAC)
- API Management
- Gateway Administration
- Secure Service Integration
- Terraform
- CI/CD Pipelines
- Containerized Environments
- AI Platforms
- Model Deployment
- Embeddings
- Vector Search Technologies
- Agentic AI Architectures
- MCP
- Secure Integration Patterns for AI Agents
- Network Security
- Cloud Security
- Firewalls
- TLS
- Certificates
- Secure Connectivity
- Microsoft Graph APIs
- Enterprise Integration Technologies
Location
- Toronto
Work Type
- Full-time
Experience Level
- 8+ years
Salary/Compensations
- $115,000 - $130,000 annually
About the Company
- Stikeman Elliott is one of the most distinguished and respected corporate law firms in Canada.
- Our Toronto office is located in the heart of the financial district, with prime access to public transit.
- Voted one of the Best Employers in Canada for 15 years, Stikeman Elliott is always seeking to recruit the best and the brightest talents.
Equal Opportunity
- Stikeman Elliott is committed to accommodating people with disabilities as part of our hiring process. If you have special requirements, please advise Human Resources during the recruitment process.