Cloud & AI Engineer

Location: Montreal, QC (Hybrid, 3 days onsite per week)

Job Type: Contract

Duration: 1-Year contract with possibility of extension

Job Summary

We are seeking a Cloud & AI Engineer to design, build, and maintain enterprise-scale multi-cloud infrastructure across Azure and AWS while enabling cloud-native AI solutions and agentic AI platforms. This role combines cloud platform engineering, Kubernetes, DevOps automation, infrastructure-as-code, and Generative AI development in a large enterprise environment.

Key Responsibilities

Cloud Platform Engineering

- Design, build, and maintain Azure and AWS Landing Zones following security, governance, and compliance best practices.
- Engineer secure, scalable, and resilient multi-cloud and hybrid cloud environments.
- Implement networking architectures including Hub-and-Spoke, Transit Networks, VPN, ExpressRoute, Direct Connect, DNS, routing, and firewall controls.
- Support cloud migration, modernization, and onboarding initiatives across application, data, and AI workloads.
- Troubleshoot infrastructure, networking, identity, and platform integration issues.

DevOps & Automation
- Develop reusable Terraform modules and infrastructure blueprints.
- Automate provisioning and operational workflows using GitHub, GitHub Actions, and CI/CD pipelines.
- Build Python-based automation tools, integrations, and self-service capabilities.
- Apply software engineering best practices including source control, testing, code reviews, and secure development.

Kubernetes & Platform Services
- Implement and manage Kubernetes platforms including AKS and EKS.
- Support containerized workloads with a focus on security, observability, scalability, and resiliency.
- Partner with development teams to enable cloud-native application deployment and operations.

AI Engineering & Agent Development
- Design and develop AI agents, autonomous workflows, and enterprise AI solutions.




- Implement LLM-based applications utilizing prompt engineering, embeddings, vector search, RAG, and agent orchestration.
- Build solutions using technologies such as LangChain, LangGraph, OpenAI, Claude, and similar frameworks.
- Develop AI evaluation frameworks to assess response quality, safety, reliability, and business effectiveness.
- Integrate AI services with enterprise APIs, databases, cloud services, and knowledge repositories.

Required Qualifications
- 5+ years of IT experience in Cloud Engineering, Platform Engineering, DevOps, or related areas.
- 3+ years of hands-on experience with Azure and AWS.
- Robust experience with Azure and AWS Landing Zones, governance, and cloud security.
- Expertise in Terraform, Infrastructure as Code (IaC), GitHub, GitHub Actions, and CI/CD pipelines.
- Hands-on experience with Kubernetes, AKS, EKS, containers, and cloud-native platforms.
- Strong Python programming and automation experience.
- Experience with hybrid connectivity technologies including VPN, ExpressRoute, Direct Connect, DNS, and network security.
- Strong understanding of cloud networking, IAM, observability, and security practices.
- Knowledge of Generative AI, LLMs, Prompt Engineering, RAG, embeddings, vector search, and AI governance.
- Hands-on experience with AI agent frameworks such as LangChain, LangGraph, OpenAI ADK, Claude SDK, or equivalent.
- Strong collaboration and communication skills within enterprise environments.

Preferred Qualifications
- Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Anthropic Claude, or OpenAI platforms.
- Experience building AI copilots, intelligent assistants, or agentic automation solutions.
- Knowledge of MCP, vector databases, semantic search, and enterprise AI integrations.
- Azure and/or AWS certifications.
- Experience within financial services, regulated industries, or large enterprise environments.

Key Skills
- Azure & AWS
- Terraform
- Kubernetes (AKS/EKS)
- Python
- GitHub Actions / CI-CD
- Generative AI (LangChain, LangGraph, RAG, AI Agents)

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