Generative AI Engineer

Soho Square Solutions; Montreal (administrative region); Hybrid; CAD 100,000 - 130,000; Full time

Job summary

Soho Square Solutions is seeking a Cloud & AI Engineer to design, build, and maintain enterprise-grade multi-cloud infrastructure across Azure and AWS, enabling cloud-native AI and agentic AI platforms in a large enterprise.

You will implement Landing Zones, secure networking, and hybrid cloud architectures, while advancing DevOps automation with Terraform, GitHub Actions, and CI/CD pipelines.

Qualifications

• 5+ years IT experience in Cloud/Platform Engineering, DevOps, or related fields.
• Strong hands-on Azure/AWS and landing zone experience.
• Proficient in Terraform, IaC, GitHub, CI/CD pipelines.

Responsibilities

• Design, build, and maintain multi-cloud (Azure/AWS) landing zones with security and governance.
• Engineer scalable and secure hybrid cloud environments.
• Automate provisioning with Terraform and CI/CD pipelines; develop Python tools.

Skills

Cloud engineering

DevOps

Python programming

Communication

Tools

Terraform

Kubernetes

GitHub Actions

CI/CD

Job description

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

• 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.
• 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.
• 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.
• Strong 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

• Terraform
• Python
• GitHub Actions / CI-CD
• Generative AI (LangChain, LangGraph, RAG, AI Agents)