toronto on junior azure solution architect Jobs – 78 Openings This Week

Senior Gen AI Engineer
Recrute Action Inc. —Toronto, ON
- $55–$75 an hour
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Work from home
Quick apply
14h
Senior Performance Testing Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- DevOps
- Bachelor's
Lead Python Full Stack Data Engineer - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Sr. DevSecOps Engineer, Information Security
Peoples Group —Toronto, ON
- $125,000–$145,000 a year
- Monday to Friday
- Hybrid work
- Azure
- AWS
- Financial services
- Profit sharing
- Paid time off
5d
Senior Cloud Engineer (Technical Lead)
Scotiabank —Toronto, ON
- Hybrid work
- Azure
- DevOps
- Engineering
- Tuition reimbursement
Salesforce Technical Lead
LTM —Mississauga, ON
- $101,000–$120,000 a year
- Remote
- Azure
- Sales
- Salesforce
- Disability insurance
- Dental care
Quick apply
12d
Associate Director – Application Transformation & Modernization
Kyndryl —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Sales
- DevOps

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Senior Gen AI Engineer

Recrute Action Inc. -
Toronto, ON

Quick apply

Job details

Full-time | Fixed term contract
$55–$75 an hour
14 hours ago

Qualifications

Jira
Power BI
Data modeling
Azure
Law
Computer Science
Engineering
NoSQL
Mathematics
Tableau
Databases
SQL
Bachelor's
Machine learning
Natural language processing
AI
Model evaluation
Communication skills
Python
Analytics

Full job description

Senior Gen AI Engineer

Exciting opportunity in the insurance sector to work on cutting-edge AI solutions powered by LLMs and RAG pipelines. This hybrid Toronto-based role offers hands-on innovation, real business impact, and collaboration on high-visibility projects shaping the future of intelligent systems.

What is in it for you:

Salaried: $55-65 per hour.
Incorporated Business Rate: $65-75 per hour.
7-month contract.
Full-time position: 37.50 hours per week.
Hybrid: 3 days/week in Toronto office.

Responsibilities:

Design and architect LLM-based solutions, including RAG pipelines, fine-tuning, embeddings, and evaluation frameworks.
Build scalable GenAI microservices and integrate them with internal systems.
Perform prompt engineering, agent design, and implement safety guardrails.
Evaluate open-source and commercial models for performance, risk, and cost.
Collaborate with data teams to prepare training datasets, knowledge bases, and analytics.
Ensure compliance with insurance regulations and enterprise security standards.
Partner with stakeholders to define problem statements, data needs, and delivery approaches.
Document data sources and maintain structured templates.
Oversee ingestion and refresh of knowledge bases and data pipelines supporting RAG solutions.
Implement quality controls and continuous improvement mechanisms.
Present model performance, insights, and business impact to senior stakeholders.
Develop business cases and support change management for solution adoption.
Work with internal and external teams to productionize solutions.
Mentor junior team members and contribute to best practices.
Participate in daily project updates and communicate with business and technical partners.
Propose and implement technical solutions aligned with timelines and requirements.
Develop proof-of-concept solutions and architecture diagrams.
Track tasks and progress using Jira.

What you will need to succeed:

Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
6+ years of experience in machine learning, NLP, or AI engineering.
2+ years of hands-on experience with GenAI and LLM technologies.
Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or Llama.
Strong expertise in RAG, vector databases, embeddings, and model evaluation methods.
Proficiency in Python, data pipelines, and cloud-native architectures, preferably Azure.
Experience deploying GenAI solutions in production environments.
Strong SQL and data modeling skills, with familiarity in relational and NoSQL databases.
Knowledge of BI and visualization tools such as Power BI or Tableau is an asset.
Understanding of classical machine learning and statistical methods.
Ability to translate technical results into business insights and support stakeholder decision-making.
Strong problem-solving, communication, and cross-functional collaboration skills.
Experience in insurance, underwriting, or financial services is an asset.

Why Recruit Action?

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

Pay: $55.00-$75.00 per hour

Benefits:

Work from home

Application question(s):

Are you comfortable reporting to the Toronto office 3 days per week?
Do you have a Bachelor’s degree in computer science, mathematics, engineering, or equivalent practical experience? If yes, please specify.

Education:

Bachelor's Degree (required)

Experience:

Machine learning, NLP, or AI engineering: 6 years (required)
Working with GenAI / LLMs: 2 years (required)
LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, etc.): 1 year (required)
RAG/Vector databases/Embeddings/Model evaluation methods: 1 year (required)
Cloud-native architectures (Azure): 1 year (required)
GenAI production deployment (MLOps / GenAI Ops): 1 year (required)
BI / visualization tools (e.g., Power BI, Tableau): 1 year (preferred)

Work Location: Hybrid remote in Toronto, ON M4W 1E6

Quick apply

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junior azure solution architect jobs in toronto on

Senior Gen AI Engineer

Senior Performance Testing Engineer

Lead Python Full Stack Data Engineer - Vice President

Sr. DevSecOps Engineer, Information Security

Senior Cloud Engineer (Technical Lead)

Salesforce Technical Lead

Associate Director – Application Transformation & Modernization

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