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Architect / Senior Developer - TI1810-2

Toronto - Remote, ON · Information Technology
Job Description:


Be part of a transformational journey with innovative talent and leading-edge technologies . Our team and what we’ll accomplish together
You brings the power of data and analytics to life, leveraging our market leading health & wellbeing products and the health delivery services to help create healthier communities around the globe.

What you’ll do
You’ll get in on the ground floor of a high-profile business  and contribute to a new area of the organization. We are seeking a Senior Solutions Architect with hands-on experience in architecting cloud-based solutions, particularly those involving Large Language Models (LLMs) and Generative AI.
You will be responsible for using data and AI to drive business outcomes. You will work closely with multiple vendors to create quick MVPs and push them to production.

Key Responsibilities:
● Design and implement scalable, cloud-based architectures and solutions
● Evaluate and select appropriate platforms for developing AI-driven solutions
● Lead the integration of LLMs and Generative AI into cloud environments
● Collaborate with cross-functional teams to deliver innovative solutions
● Code/ Develop as required to take a project to completion
Required Qualifications:
● Extensive experience in cloud architecture, with a focus on GCP and AWS
● Proven track record in designing and implementing LLM and Generative AI solutions
● Hands-on experience coding and developing solutions.
● Strong understanding of cloud services, serverless architectures, and containerization
● Experience in evaluating and selecting optimal platforms for AI-driven projects
● Excellent communication skills and ability to translate complex technical concepts

Preferred Qualifications:
● Certifications in GCP and/or AWS
● Experience with other cloud platforms (e.g., Azure)
● Knowledge of DevOps practices and CI/CD pipelines
● Familiarity with data privacy and security best practices in AI implementations
● Experience with Retrieval-Augmented Generation (RAG) architectures
● Proficiency in Copilot design and development
● Experience working with disparate databases and integrating them into AI solutions

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