AI Implementation lead to own AI solutions in a Azure environment for a healthcare company
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
-
Emploi Permanent
- Publié le 4 février 2026
-
Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Job Title: AI Implementation Lead
Location: Downtown Toronto
Employment Type: Full-Time
Schedule: 2 days/ week in office
Salary: $120,000
Start Date: ASAP
About the Role
Our client is in a significant growth phase and is building an internal AI capability to support and scale its services across the organization. We are seeking an AI Implementation Lead to play a critical, hands-on role in bringing existing AI solutions into a Azure environment and scaling them to real-world business use. This role is focused on implementation, integration, and execution - not research or governance. You will work with existing AI/ML models developed by internal engineers and ensure they are properly fine-tuned, integrated, and deployed in Azure so they can be adopted by internal teams and end clients. You will act as the technical SME bridging AI engineering, product, and third‑party vendors in a fast-paced, lean team environment.
What You’ll Do
- Own the implementation of AI solutions within a Azure environment, taking models from development to production
- Work with internal ML Engineers to:
- Fine-tune existing AI/ML models
- Ensure models behave as expected when exposed to real users and applications
- Translate AI solutions into scalable, production-ready implementations that can be rolled out across the organization
- Design and execute Azure-first AI integration strategies, using:
- Azure Machine Learning
- Azure AI Services
- Azure-native integration and cloud services
- Lead the technical integration of AI capabilities such as:
- Chatbots connected to large language models
- AI-powered services embedded into internal and client-facing systems
- Act as the primary technical owner for third-party AI vendor:
- Validate technical design and output
- Ensure vendor work aligns with the architecture and business goals
- Collaborate closely with a Product Manager, who will translate technical solutions to business stakeholders
- Develop implementation strategies that allow AI solutions to scale efficiently as the business continues to grow and expand locations
- Troubleshoot, optimize, and iterate on AI integrations to improve performance, reliability, and usability
- Provide technical guidance and direction within a small AI team while remaining a hands-on contributor
Required Experience & Skills
- Strong understanding of AI and machine learning concepts, with the ability to work with and fine-tune existing models
- Deep, hands-on experience with Microsoft Azure, specifically:
- Azure Machine Learning
- Azure AI Services
- Azure cloud services used for AI integration and deployment
- Experience implementing AI solutions into production environments
- Background in systems integration or application integration, especially where AI is involved
- Ability to take ownership of solutions from technical handoff through deployment and scale
- Experience collaborating with or overseeing third-party vendors
- Comfortable working in a fast-paced, low‑hand‑holding environment
- 2-3+ years of focused experience working with AI solutions in Azure
Nice to Have
- Experience in healthcare or financial services environments
- Hands-on experience with:
- Large Language Models (LLMs)
- AI-powered chatbots or conversational AI
- Background working in growing or transformation-stage organizations
- Experience working closely with Product Managers or business stakeholders
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
Exigences
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