Senior Ai / Generative Ai Engineer

Our client is looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise workflows within a secure and governed environment. Start Date: September 7, 2026 End Date: September 3, 2027 Duration: 1 year Location: GTA/Hybrid (approx. 2 days onsite)Required 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 fieldCore 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 standardsWhat 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 valueWho You Are
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 AIPreferred Skills
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 framework
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