Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
We are hiring a very hands-on expert who can take solutions from concept → production → scale
Comfortable working in fast-evolving and ambiguous AI environments
Passionate about building secure, reliable, and responsible AI systems
Strong collaborator who thrives in cross-functional teams
Motivated to solve complex business problems using advanced AI
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
7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments
Proven track record delivering end-to-end AI solutions in production
Experience with Snowflake or modern enterprise data platforms
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field
Core AI & Engineering Capabilities
Generative AI & LLMs
Hands-on experience building Generative AI applications (GPT, Claude, Gemini, etc.)
Experience fine-tuning and optimizing LLMs for enterprise use cases
Designing and implementing RAG (Retrieval-Augmented Generation) architectures:
Retrieval & embeddings
Vector search
Grounding & context orchestration
AI Agents & Orchestration
Designing and building AI agents using frameworks such as:
LangChain
Semantic Kernel
Azure OpenAI Service
Azure Open AI
Experience with:
Multi-agent systems
Tool/function calling
Workflow automation and orchestration
Azure AI & Platform Engineering
Strong experience across the Azure AI ecosystem:
Azure OpenAI
Azure AI Search
Azure AI Foundry
Azure Machine Learning
Azure Fabric
Snowflake
Integration with enterprise services:
Azure Cognitive Services
Azure Data Lake
Azure Event Hub
Experience deploying scalable solutions on:
Azure Kubernetes Service (AKS)
Distributed, cloud-native architectures
Software Engineering
Strong programming skills in Python
Experience building APIs (FastAPI or similar)
Experience with microservices architecture and enterprise system integration
Familiarity with containerization (Docker/Kubernetes)
MLOps, LLMOps & Governance
Experience implementing MLOps / LLMOps practices:
Azure DevOps, MLflow, CI/CD pipelines
Model evaluation frameworks
Monitoring, observability, performance tracking
Strong understanding of Responsible AI practices:
Security & data protection
Risk management & guardrails
Compliance with enterprise governance standards
What You’ll Work On
Build enterprise-grade AI agents leveraging internal data and workflows
Develop AI-powered search, discovery, and insight-generation platforms
Design scalable GenAI decision-support systems for business and executive users
Implement secure, governed AI solutions in a regulated enterprise environment
Operationalize AI solutions that deliver real, measurable business value
Nice to Have Skills & Experience
Experience with Azure Foundry-based RAG systems
Familiarity with NLP / text analytics applications
Experience contributing to open-source AI projects or research
Experience with GitHub-based development workflows
Exposure to enterprise-scale AI deployments and governance frameworks
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.