GenAI Architect Developer – Azure, Microsoft Fabric & DevSecOps (36230)

Canada
Remote
Posted Nov 15, 2026
1 position

Opens LinkedIn

Employment type: Contract
Posting language: English
Working hours: 37.5 hours per week

Job summary

Architect, develop, integrate, and optimize Generative AI and advanced analytics applications using Microsoft Azure services, while supporting cloud infrastructure, APIs, and containerized deployments. Apply DevSecOps and security practices, test and document solutions, support UAT and production operations, and collaborate with technical teams and business stakeholders.

Job details

GenAI Architect / Developer – Azure, Microsoft Fabric & DevSecOps Location: 100% Remote – Anywhere in Canada Employment Type: Contract – 3–4 Months, with Potential Extension Contract End Date: March 31, 2027, with Extension Anticipated Hours: 37.5 Hours per Week (7.5 Hours per Day) Security Clearance: Enhanced Reliability (Required) Openings: 1 Position Overview Myticas Consulting is seeking an experienced GenAI Architect / Developer with strong expertise in Microsoft Azure, Generative AI, DevSecOps, and modern cloud-based application development for an exciting opportunity supporting a major Canadian federal financial regulatory organization. This is a fully remote position available to qualified candidates across Canada. The successful candidate will join an established, ongoing initiative focused on designing, developing, enhancing, and supporting Generative AI solutions and advanced analytics applications within a Microsoft Azure environment. This is a hands-on technical role combining solution architecture, software development, AI integration, cloud infrastructure, security, and DevSecOps best practices. The selected consultant will assume responsibility for existing solutions while contributing to new development initiatives, performance optimization, and continuous improvement. Knowledge transfer will be provided by the outgoing resource to support a smooth transition. The initial contract runs through March 31, 2027, with potential for extension beyond that date. Key Responsibilities Generative AI Architecture & Solution Development Analyze business requirements and recommend appropriate AI models, architectures, technologies, and solutions to address business challenges. Architect, design, develop, and enhance Generative AI applications and advanced analytics solutions using Microsoft Azure technologies. Develop and integrate solutions leveraging Azure OpenAI, Azure AI Search, Azure Document Intelligence, and related Azure AI services. Design and implement scalable, secure, and maintainable cloud-native applications. Support the integration of AI capabilities with enterprise data platforms, applications, and business processes. Lead technical design and development activities while collaborating with internal stakeholders and project teams. Azure Cloud Engineering & Application Development Develop, maintain, and optimize applications and services within the Microsoft Azure ecosystem. Work with Azure Synapse, Cosmos DB, Azure Data Lake Storage, Azure Container Apps, Azure Kubernetes Service (AKS), Azure App Services, and Azure Container Registry. Develop backend services, APIs, and application components using Python, Node.js, and modern web development frameworks. Support frontend development and integration using JavaScript, HTML, React, and Svelte. Review, troubleshoot, refactor, and optimize existing applications for performance, scalability, security, reliability, and maintainability. DevSecOps, Security & Lifecycle Management Apply DevSecOps principles and secure software development practices throughout the application lifecycle. Ensure all solutions comply with organizational data security, privacy, and responsible AI policies. Support source control, development workflows, deployment processes, and project tracking through Azure DevOps. Implement and maintain containerized application environments using Docker and Azure container services. Establish and improve application monitoring, logging, observability, reproducibility, and operational support practices. Identify and address application vulnerabilities, performance bottlenecks, and technical risks. Testing, Documentation & Stakeholder Support Conduct testing, validation, and evaluation of AI models, applications, analytical tools, and associated functionalities. Coordinate and facilitate User Acceptance Testing (UAT) and final solution delivery. Prepare and maintain technical documentation, architecture documentation, user guides, and stakeholder presentations. Develop automated reporting and dashboards to monitor application usage, operational issues, and key performance indicators (KPIs). Collaborate with technical teams, business stakeholders, and project leadership to ensure successful delivery. Manage development activities, tasks, and project progress using Azure DevOps. Required Qualifications & Technical Expertise Demonstrated experience as a GenAI Architect, AI Solutions Architect, Azure Developer, or Senior Cloud Application Developer. Strong hands-on experience designing, developing, and deploying solutions within Microsoft Azure. Practical experience with Azure OpenAI and Generative AI application development. Experience with Azure AI Search, Azure Document Intelligence, and AI-enabled application integration. Strong proficiency in Python and experience developing backend services, REST APIs, and web applications. Experience with modern JavaScript frameworks and technologies, including Node.js, React, or Svelte. Working knowledge of Azure data services, including Synapse, Cosmos DB, and Azure Data Lake Storage. Experience with containerization and cloud deployment technologies, including Docker, Azure Container Apps, and/or AKS. Strong understanding of DevSecOps, CI/CD, Azure DevOps, Git, and secure software development lifecycle practices. Experience reviewing and optimizing existing code for security, performance, logging, observability, and maintainability. Ability to translate business requirements into practical, secure, and scalable technical solutions. Experience with application testing, UAT, technical documentation, and production support. Strong communication, analytical, troubleshooting, and stakeholder collaboration skills. Ability to obtain or maintain Enhanced Reliability security clearance. Technical Environment The project operates primarily within a Microsoft Azure ecosystem, incorporating the following technologies: Generative AI & Analytics Azure OpenAI Azure AI Search Azure Document Intelligence Azure Synapse Analytics Microsoft Fabric Microsoft Azure Cloud & Infrastructure Azure Cosmos DB Azure Data Lake Storage Azure Container Registry Azure Container Apps Azure Kubernetes Service (AKS) Azure App Services and App Service Plans Programming Languages & Frameworks Python JavaScript / HTML Node.js React Svelte Flask / Django Starlette / FastAPI Gunicorn / Uvicorn SQLite DevSecOps & Development Tools Azure DevOps Repositories Git Docker CI/CD and secure deployment practices Application logging, monitoring, and observability Additional Information Work Arrangement: 100% Remote, within Canada. Project Status: Established and ongoing initiative. Contract Duration: Initial engagement through March 31, 2027, with potential extension. Security Requirement: Enhanced Reliability clearance. Interview Process: Two stages, involving the consulting delivery team and end-client representatives. Transition: Knowledge transfer from the outgoing consultant is anticipated. About Myticas Consulting Myticas Consulting is a leading IT staffing and recruitment firm specializing in connecting highly skilled technology professionals with exciting opportunities across Canada and North America. We work with organizations across the public and private sectors, delivering specialized talent in Cloud, Data & AI, Cybersecurity, Enterprise Applications, and Digital Transformation. Interested candidates are encouraged to apply with an updated resume highlighting their hands-on experience with Generative AI, Microsoft Azure, cloud application development, and DevSecOps. ,

What you’ll do

Requirements

Candidates need hands-on experience designing and deploying Azure solutions, developing Generative AI applications with Azure OpenAI, and building backend services and APIs with Python. The role also requires experience with modern JavaScript frameworks, Azure data and container services, DevSecOps and CI/CD, application testing and support, and the ability to obtain or maintain Enhanced Reliability clearance.