Senior AI / Generative AI Engineer

Addmore Group; Toronto; Híbrido; CAD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Addmore Group is seeking a Senior AI/Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents for enterprise workflows. The role emphasizes secure, governed AI within a 1-year GTA-based hybrid environment, with the start date in September 2026.

Candidates should have 7+ years in AI/Gen AI/ML, strong Azure cloud experience, and a track record delivering end-to-end AI solutions in production. Bachelor's or Master's in CS/AI/ML is required.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Azure cloud environments

Gen AI / LLMs

End-to-end AI solutions

RAG architectures

AI agents & orchestration

LangChain

Semantic Kernel

Azure OpenAI Service

Azure Machine Learning

Python programming

API design / microservices

Educación

Bachelor's or Master's in Computer Science, AI/ML, or related field

Herramientas

LangChain

Semantic Kernel

Azure OpenAI Service

Azure Data Lake

Azure Kubernetes Service

Descripción del empleo

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 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

Who 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 AI

Preferred 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