Job Specifications
Job Title: Azure Technical Lead
Location: Toronto, ON (3x onsite a week)
Employment Type: Contract
Pay Rate: CAD$55 - $65/HR INC
Job Description
The Technical Lead will be responsible for driving the architecture, design, development, and delivery of modern cloud, data, and AI solutions. This role blends hands-on technical leadership with strategic oversight, guiding cross-functional engineering teams as they build scalable systems using Microsoft Azure, Databricks AI, and Snowflake Cortex. The Technical Lead will ensure adherence to enterprise security standards, streamline deployment processes, and provide architectural leadership across AI, integration, and cloud modernization initiatives.
Key Responsibilities
Cloud, Data & AI Architecture
Lead solution design and implementation using Microsoft Azure Foundry, Databricks AI, and Snowflake Cortex.
Architect and optimize data pipelines, AI workloads, and scalable cloud services.
Ensure solutions align with enterprise standards, performance requirements, and data governance policies.
Platform Engineering & DevOps
Oversee environment setup, migration, redevelopment, and automated deployment pipelines.
Implement CI/CD frameworks, IaC approaches, and repeatable deployment patterns.
Ensure consistency and reliability across development, testing, and production environments.
Identity, Security & Access Management
Integrate systems with Active Directory (AD) including:
Enterprise security model alignment
Access provisioning and deprovisioning
Lockout policy implementation
Least-privilege and zero-trust principles
Collaborate with cybersecurity teams to ensure compliance and secure-by-design architecture.
AI Engineering & Application Development
Lead development of AI-centric applications using:
Prompt Engineering & Context Engineering
Retrieval-Augmented Generation (RAG)
AI Orchestration Frameworks
LLMOps, AI Monitoring, and Evaluation (AI Evals)
Design and integrate scalable APIs leveraging Azure API Management.
Drive innovation by exploring new AI capabilities, large language models, and advanced analytics solutions.
Testing, Quality & Data Preparation
Oversee creation of mock and test data to support unit testing, integration testing, and end-to-end validation.
Define quality standards for AI model validation, data integrity, and application performance.
Containerization & Modern Deployment
Lead teams through container-based solution development using Docker, Kubernetes, and cloud-native orchestration tools.
Ensure optimized workload distribution, reliability, and resilience of deployed services.
Leadership & Collaboration
Provide technical leadership and mentorship to software engineers, cloud architects, and data teams.
Collaborate with product owners, business SMEs, and cross-functional teams to translate requirements into actionable solutions.
Communicate technical concepts clearly to both technical and non-technical stakeholders.
Required Skills & Qualifications
Technical Expertise
Strong hands-on experience with:
Azure Foundry
Databricks AI / ML
Snowflake Cortex & Snowflake ecosystem
Azure API Management
Proficiency in:
Cloud-native architecture
Data engineering & MLOps
RAG pipeline development
AI evaluation and monitoring
Containerization (Docker, Kubernetes)
Security & Identity
Extensive experience with Active Directory integration and enterprise identity management practices.
Software Development
Strong background in API development, integration patterns, and microservices.
Knowledge of Python, SQL, and modern cloud-native development frameworks.
Soft Skills
Excellent problem-solving and analytical skills.
Strong leadership, mentoring, and communication capabilities.
Ability to manage multiple initiatives and deliver high-quality solutions.
Preferred Qualifications
Certifications such as:
Microsoft Certified: Azure Solutions Architect / Azure AI Engineer
Databricks Lakehouse Platform or AI Engineer
Snowflake SnowPro certifications
Experience in large enterprise cloud modernization programs.
Background in LLM fine‑tuning, vector databases, and knowledge retrieval systems.
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
About the Company
AarornTech is a Guelph, ON based disruptive technology boutique firm specializing in Intelligent process automation development and consulting, we provide Managed RPA as a service, cloud based ready to configure Bots and end to end development and maintenance of process automation. We also support various small and large organizations (Banks, Telecom, Insurance) with their disruptive technology needs within Robotics Process Automation (RPA), Machine Learning (ML), Artificial Intelligence (AI), Blockchain, QA Automation, Perf...
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