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Added 8 mins ago
U
Human Resources Generalist
Univeris
Toronto, ON
- Full-time
Data Audits & Analytics: Run routine data integrity audits and prepare monthly operational HR metrics (retention, time-to-fill, onboarding completion) for leadership review.
Added 8 mins ago
CH
Business Systems Analyst
Charton Hobbs Group
Montreal, QC
- Full-time
Added 8 mins ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
Added 8 mins ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
Added 8 mins ago
P
Capital Projects and Infrastructure, Infrastructure Project Finance, Director
PwC
Toronto, ON
- Full-time
As part of our team, you’ll leverage quantitative analytics including industry research and benchmarking, financial modelling and historical trends analysis to inform and compel key…
Added 23 mins ago
T
Data Scientist - Credit Risk (ATH 5749)
TD
Toronto, ON
- Full-time
…strategies that drive customer and business outcomes. We combine analytics, strategic thinking, and stakeholder influence to balance growth, profitability, customer experience, and risk…
Added 23 mins ago
J&
Medical Director, Medical Excellence & Operations
Johnson & Johnson Innovative Medicine
Toronto, ON
- Full-time
Medical Affairs Technology and analytics (J&J Science Connect, Veeva CRM, iConnect)
Added 23 mins ago
Senior Product Analyst, Consumer Analytics (f/m/x)
HelloFresh
Toronto, ON
We are looking for a Senior Product Analyst, with deep expertise in web and app analytics, to help drive data-informed product and growth decisions across our organization. You will join…
Added 23 mins ago
Senior Backend Product Engineer, Menu Operations
HelloFresh
Toronto, ON
Added 23 mins ago
CK
Territory Services Manager - Car Wash
Circle K
Toronto, ON
- Full-time
Proactively performs root cause analyses, forecasting, and other analytics to ensure car wash issues are mitigated in a cost effective and timely manner.
Added 23 mins ago
C
Senior Audit Manager, Finance and Treasury
CIBC
Toronto, ON
- Full-time
You are comfortable with AI and analytics. You understand how AI, automation, and advanced analytics can support audit execution and risk insight. You are open to exploring practical use…
Added 23 mins ago
B
SPECIALIST, EXPERTISE MANAGEMENT
BDC
Montreal, QC
- Full-time
Added 23 mins ago
SC
Principal Data Engineer
Sleep Country
Brampton, ON
- Full-time
…scalable, secure, and future-ready data platforms supporting analytics, operational reporting, AI, and business…
Added 23 mins ago
MC
Head of Paid Marketing
MM Coaching Limited
Remote, Canada
- Contract
- Remote
Added 23 mins ago
AW
Privacy Operations Specialist
Aviso Wealth
Remote, Canada
- $100,000 to $110,000 CAD / year
- Full-time
- Remote
Added 23 mins ago
E
Engineer in Training I Distribution System Planning
Enbridge
Chatham-Kent, ON · Toronto, ON
- Full-time
Added 23 mins ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
…Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven decision-making across the group. This role sits at the heart of that…
Added 23 mins ago
IS
ML Ops/AI Lead
Iris Software Inc.
Toronto, ON
- Full-time
Added 23 mins ago
S
Delivery Manager (Banking/IT Service Domain)
Synechron
Mississauga, ON
- $140,000 to $170,000 CAD / year
- Full-time
Experience delivering transformation programs across areas such as Digital Banking, Payments, Lending, Wealth Management, Risk, Regulatory Technology, Data & Analytics, Cloud, or AI/ML.
Added 23 mins ago
TC
ServiceNow Architect
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Demonstrated understanding of ServiceNow ITOM capabilities including Event Management, Health Log Analytics, Discovery, Service Mapping, and operational intelligence.
Added 23 mins ago
CI
Account Director
Citylitics Inc.
Toronto, ON
- Full-time
Added 23 mins ago
K
Media Planning Manager
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
Added 23 mins ago
WC
Manager, Software (Embedded & Digital Products)
Wabtec Corporation
London, ON
- Full-time
Expand capabilities in remote access, fleet analytics, connected-asset services, predictive maintenance, cloud services, APIs, licensing, and secure over-the-air updates.
Added 24 mins ago
TC
Temporary Senior Financial Analyst - Asset Management and Financial Planning
The Corporation of the Town of Ajax
Ajax, ON · Town Hall
- Full-time
Added 39 mins ago
TS
Communications Advisor, Digital Communication and Website Management
Technical Standards & Safety Authority (TSSA)
Toronto, ON
- Full-time
Monitor website performance: Monitor website analytics, search data, and user feedback to identify issues and trends, and recommend improvements to content, navigation, and usability.

Fortiv Technical Inc.

Artificial Intelligence Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Onsite 3 days/week

About the role

A leading financial services institution is growing its AI practice and is looking for an AI Engineer to design, build and run production AI solutions on Azure and Databricks. You will take generative AI and machine learning use cases from prototype to production, with the reliability, monitoring and governance a regulated enterprise requires.

Key responsibilities

Design, build and deploy generative AI solutions on Azure AI Foundry, including RAG patterns, agents, prompt flows and model evaluation.
Establish and run LLMOps practices: prompt and model versioning, evaluation pipelines, guardrails, content safety, cost and latency monitoring.
Build and maintain MLOps pipelines for training, deployment, monitoring and retraining of machine learning models.
Develop and configure Databricks Genie spaces so business users can query governed data in natural language, including curating instructions, sample queries and trusted assets.
Work with data engineering teams on Databricks (Delta Lake, Unity Catalog, MLflow) to prepare and govern the data AI solutions depend on.
Partner with business stakeholders, product owners and risk teams to turn use cases into secure, compliant solutions.
Apply responsible AI practices, including model risk management, explainability, data privacy and audit requirements.
Contribute to the practice's reusable patterns, standards and engineering best practices.

Required qualifications

5+ years in software, data or machine learning engineering, including at least 2 years delivering generative AI or LLM solutions in production.
Hands-on experience with Azure AI Foundry and Azure OpenAI Service.
Proven LLMOps and MLOps experience, including CI/CD for models, evaluation, monitoring and drift detection.
Practical experience with Databricks, including MLflow and Unity Catalog; experience configuring Databricks Genie (AI/BI Genie).
Strong Python skills and solid SQL.
Experience with Azure services such as Azure AI Search, Azure Machine Learning, Azure Functions and Key Vault.
Experience with CI/CD tooling such as Azure DevOps or GitHub Actions.
Strong communication skills and comfort working with business and technical audiences.

Nice to have

Experience in banking, insurance or other regulated financial services.
Familiarity with agent frameworks such as Semantic Kernel, LangChain or LangGraph.
Microsoft certifications such as Azure AI Engineer Associate (AI-102); Databricks Machine Learning or Generative AI Engineer certification.

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More about this job

Responsibilities

Design, deploy, and operate production generative AI and machine learning solutions on Azure and Databricks, including RAG, agents, Genie spaces, and LLMOps/MLOps pipelines. Partner with data, business, product, and risk teams to deliver secure, governed, and compliant solutions while advancing reusable engineering practices.

Requirements

Requires 5+ years of software, data, or machine learning engineering experience, including at least 2 years delivering production generative AI or LLM solutions. Candidates need hands-on Azure AI Foundry, Azure OpenAI, Databricks, LLMOps/MLOps, Python, SQL, Azure services, and CI/CD experience, along with strong communication skills.

Skills

Generative AI
Azure AI Foundry
Azure OpenAI Service
LLMOps
MLOps
Databricks
MLflow
Unity Catalog
Databricks Genie
Python
SQL
Azure AI Search
Azure Machine Learning
CI/CD
Model Evaluation
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Azure AI Foundry
Azure OpenAI Service
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Prompt Flows
LLMOps
MLOps
Model Evaluation
Guardrails
Content Safety
Databricks
Databricks Genie
Delta Lake
Unity Catalog
MLflow
Python
SQL
Azure AI Search
Azure Machine Learning
Azure Functions
Azure Key Vault
Azure DevOps
GitHub Actions
CI/CD
Model Risk Management
Responsible AI
Semantic Kernel
LangChain

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