Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
We are seeking a Senior/Principal AI Engineer with deep Azure AI Foundry expertise who has built enterprise-grade RAG and Agentic AI solutions from scratch. Must be hands-on Build enterprise-grade AI platforms and custom AI applications from the ground up using Azure AI Foundry and the Azure ecosystem. This is a very hands-on engineering role. The AI Foundry materials in your environment emphasize end-to-end agent and orchestration development, governance, and production deployment.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
6+ years software engineering experience
Advanced AI/ML engineering background
Deep Azure AI Foundry expertise
Strong Python development skills
Experience writing production-grade code
Experience deploying AI applications to enterprise environments
End-to-end solution architecture capabilities
Azure AI Foundry
Azure OpenAI
Azure AI Search
Python (advanced)
GEN AI- RAG architecture
Agent Orchestration
Prompt Engineering
LLM implementation in production
Snowflake OR Microsoft Fabric
Nice to Have Skills & Experience
Azure Ecosystem
Azure Machine Learning
Azure Data Lake
Azure Event Hub
Azure Cognitive Services
Fine-Tuning LLMs
LLM Evaluation Frameworks
Prompt Optimization
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.