Jobs in Canada

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Added 1 month ago
O
Senior Data Modeler
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Proven experience with database development and design tools, such as Oracle SQL Developer, SQL Navigator, Quest Toad, or comparable tools.
Added 1 month ago
T
Senior Java Developer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for a savvy Senior Java Developer to join our growing Prime Technology team. The hire will be responsible for designing, building, maintaining, and supporting applications…
Added 1 month ago
TE
Intern, Predictive Insights - Real-time Monitoring & Analytics
TC Energy
Calgary, AB
- Full-time
All applicants must have legal authorization to work in
Added 1 month ago
A
Salesforce & RevOps Systems Administrator
Amilia
Montreal, QC · Greater Montreal, QC
- Full-time
Comfortable writing basic SQL for data checks and light scripting for automation.
Added 1 month ago
Senior Business Analyst
Bayshore
Mississauga, ON
…I.T. professionals or implementing requirements as citizen developer using low-code Microsoft…
Added 1 month ago
L
Business Systems Engineer Intern, Finance Technology (Summer 2027)
Lyft
Toronto, ON
- $40 to $43 CAD / hour
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 1 month ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Added 1 month ago
Senior HR Reporting Analyst
FortisBC
Surrey, BC
Strong SQL skills and experience working with HRIS databases (e.g., Workday, SAP SuccessFactors, Oracle HCM, UKG)
Added 1 month ago
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DevOps Specialist
Manulife
Toronto, ON
- Full-time
Experience working with database technologies, including Microsoft SQL Server, SQL Managed Instance (SQL MI), Oracle, and DB2.
Added 1 month ago
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Data Architect
Hays
Toronto, ON
- Contract
Strong Expertise in Azure(ADF/ADLS), Databricks, Python, Pyspark, SQL, CI-CD (Jenkins, Github), Obs (Dynatrace)
Added 1 month ago
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IT Support Analyst IV, TD Securities
TD
Toronto, ON
- Full-time
Must have experience working with developers, business analysts, and infrastructure support teams
Added 1 month ago
T
SAP BO (BusinessObjects) Developer
TechDoQuest
Markham, ON
- Contract
Experience with SAP HANA, Oracle, SQL Server, or other relational databases.
Added 1 month ago
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Analyst Systems Support
Sobeys
Mississauga, ON
- Full-time
Minimum 2-3 years experience in solutions and databases with emphasis on VBA/macros, SQL, and Power Automate (must have) · Minimum 2-3 years’ experience working with Tableau, Power BI and/or other Reporting/Dashboard Tools (must have)
Added 1 month ago
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Software Developer - Full Stack - Senior
Akkodis
Toronto, ON
- Contract
Position: Software Developer - Full Stack – Senior(.Net & React)
Added 1 month ago
Software Architect
Zynga
Toronto, ON
…implementation of AI-powered tools and systems that elevate developer productivity and player experiences at scale. We're looking for outstanding engineers with a passion for artificial…
Added 1 month ago
Z
Principal Software Engineer, Full-Stack Development
Zynga
Toronto, ON
- $118,300 to $168,300 CAD / year
…implementation of AI-powered tools and systems that elevate developer productivity and player experiences at scale. We're looking for outstanding engineers with a passion for artificial…
Added 1 month ago
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Lead Product Manager, AI Technology
Zynga
Toronto, ON
- $118,300 to $168,300 CAD / year
Data-driven decision making: Proficient in defining metrics, analyzing data (SQL/dashboards), and using evidence to prioritize and measure impact.
Added 1 month ago
AI
Java Backend developer - Java 17, DevSecOps, Kubernetes
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Temporary
Java Backend developer - Java 17, DevSecOps, Kubernetes
Added 1 month ago
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Lead AI engineer
Hays
Halifax, NS
- $150,000 to $175,000 CAD / year
- Full-time
Added 1 month ago
IT Support Specialist (St Thomas Office)
Buckland
St. Thomas, ON · London, ON
Added 1 month ago
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Quantitative Software Engineer
RPIA
Toronto, ON
- Full-time
Experience working with relational databases and SQL, with an understanding of how data is structured, transformed, and propagated through software systems.
Added 1 month ago
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Intermediate Tier 3 Support Engineer
JSI
Ottawa, ON
- Full-time
SQL experience, and familiarity with relational or NoSQL databases.
Added 1 month ago
AE
Warehouse Attendant
Agnico Eagle Mines Limited
Dobie, ON
- Full-time
Understanding of SQL inventory data base systems, eg. JDE;
Added 1 month ago
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AI-Aware Data Engineer (Oracle, PostgreSQL & Azure)
Cognizant
Toronto, ON
- Full-time
Based on this role's business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office
Added 1 month ago
Senior Manager, Balance Sheet Management - International Banking
Scotiabank
Toronto, ON
Experience with data analytics (Python, SQL, etc.), visualization, programming or business intelligence tools (Power BI, etc.), is considered an asset.

Hays

Lead AI engineer

Halifax, NS, Canada

$150,000 to $175,000 CAD / year · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $150,000 to $175,000 CAD / year
Job type: Full-time
Experience: 8+ years of software engineering experience with strong expertise in Python development.
Posting language: English
Posted: Sep 28, 2026

Original job description

AI Engineering Team Lead

Location: Halifax, NS (Hybrid)

Job Type: Full-Time, Permanent

Our client is seeking an experienced AI Engineering Team Lead to lead the design, development, and support of secure, cloud-native, AI-enabled applications within a highly regulated enterprise environment.

As a key member of the technology organization, you will lead a cross-functional team responsible for delivering machine learning, generative AI, document intelligence, and intelligent automation solutions. This role combines people leadership, technical strategy, hands-on engineering oversight, and stakeholder engagement to drive the adoption of AI across the business.

You will be responsible for establishing technical direction, engineering standards, delivery practices, and governance frameworks while partnering with business leaders to identify opportunities for AI-driven transformation and operational efficiency.

Responsibilities

Team Leadership

Lead, mentor, and develop a high-performing AI Engineering team through coaching, hiring, and capability development.
Foster a culture of collaboration, accountability, continuous improvement, and engineering excellence.
Support career development and provide ongoing performance feedback and mentorship.

Technical Leadership

Guide the design, development, and deployment of cloud-native, machine learning, and generative AI solutions in production environments.
Define engineering standards, architecture patterns, and implementation best practices.
Partner with architects and senior engineering leaders on AI services, machine learning platforms, agent-based workflows, data pipelines, and application integrations.
Ensure appropriate selection of AI technologies, frameworks, models, and cloud services based on business and operational requirements.

Business Partnership

Collaborate closely with stakeholders to identify automation opportunities and prioritize AI initiatives with measurable business value.
Translate business requirements into scalable technical solutions and long-term AI roadmaps.
Communicate delivery progress, risks, priorities, and trade-offs to senior leadership.

Document Intelligence & AI Solutions

Define and lead the roadmap for document intelligence and intelligent automation initiatives.
Oversee development of solutions involving:
Document classification
Information extraction
Workflow automation
Retrieval-Augmented Generation (RAG)
AI-assisted operational processes
Intelligent document processing

AI Governance & Quality

Establish governance practices for model evaluation, monitoring, testing, fine-tuning, responsible AI, and production risk management.
Ensure solutions are secure, observable, scalable, and production-ready.
Define standards for model validation, prompt evaluation, regression testing, drift detection, monitoring, and operational support.
Promote responsible use of AI tools and AI-assisted development practices while maintaining human review and approval processes.

Delivery & Operations

Lead agile delivery activities including sprint planning, capacity management, prioritization, and execution.
Manage dependencies, risks, and delivery commitments across multiple initiatives.
Support incident management, root cause analysis, post-mortems, and continuous improvement activities.
Ensure solutions meet performance, reliability, security, and operational support requirements.

Innovation

Evaluate emerging AI technologies, frameworks, tools, and platforms.
Recommend adoption strategies while balancing quality, security, governance, scalability, and cost considerations.
Support the development of enterprise AI capabilities and long-term innovation initiatives.

Qualifications

Required Experience

Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline.
8+ years of software engineering experience with strong expertise in Python development.
Experience leading engineering teams delivering AI, machine learning, NLP, intelligent automation, or cloud-native solutions in production environments.
Proven people management experience, including hiring, coaching, mentoring, and team development.
Experience working directly with business stakeholders to identify and deliver AI-driven solutions.

Technical Expertise

Strong understanding of:
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Natural Language Processing (NLP)
Intelligent Document Processing
AI Governance
MLOps and Model Lifecycle Management
Software Quality and DevOps Practices
Hands-on experience with technologies such as:
Python
LangChain
LlamaIndex
PyTorch
TensorFlow
Scikit-Learn
SQL and NoSQL databases
Vector databases
Cloud-native application architectures

Cloud Platforms

Experience with AWS, Azure, Google Cloud, or similar public cloud platforms.
Experience with AI platforms such as:
Amazon Bedrock
Azure OpenAI
Azure AI Services
Azure Machine Learning
Anthropic APIs
Comparable foundation model platforms

Leadership Skills

Experience leading agile delivery teams and managing competing priorities.
Strong stakeholder management and communication skills.
Ability to balance business outcomes, engineering quality, operational risk, and delivery timelines.
Experience defining technical strategy, roadmaps, and governance standards.

Preferred Experience

Financial services, fintech, banking, insurance, or other regulated industries.
Experience with document intelligence and enterprise automation platforms.
Experience developing AI strategies involving LLMs, retrieval systems, model fine-tuning, and intelligent automation.
Experience implementing AI evaluation frameworks, monitoring solutions, safety controls, and governance processes.

What You'll Bring

Strong technical leadership and problem-solving skills.
A passion for building and growing engineering teams.
Deep interest in AI innovation and emerging technologies.
The ability to drive strategic initiatives while remaining focused on quality, security, and business value.
A collaborative approach with a strong focus on mentorship, accountability, and continuous improvement.

Salary - $150,000 - $175,000

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead and develop an AI engineering team delivering secure, cloud-native machine learning, generative AI, document intelligence, and automation solutions. Set technical direction and governance, partner with business stakeholders on AI roadmaps, and oversee delivery, quality, security, and operational support.

Requirements

Requires a bachelor's degree in a related discipline, at least 8 years of software engineering experience with strong Python expertise, and proven experience leading teams that deliver production AI or cloud-native solutions. Candidates should have people-management and stakeholder-partnership experience, knowledge of generative AI, LLMs, RAG, NLP, MLOps, and AI governance, and experience with cloud platforms and relevant AI tools.

Skills

Python
Generative AI
Large Language Models
Retrieval-Augmented Generation
Natural Language Processing
Machine Learning
MLOps
AI Governance
Cloud-Native Architecture
AWS
Azure
Google Cloud
Agile Delivery
Team Leadership
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Python
LangChain
LlamaIndex
PyTorch
TensorFlow
Scikit-Learn
SQL
NoSQL
Vector Databases
AWS
Azure
Google Cloud
Amazon Bedrock
Azure OpenAI
Azure AI Services
Azure Machine Learning
Anthropic APIs
Generative AI
Large Language Models
Retrieval-Augmented Generation
Natural Language Processing
Document Classification
Information Extraction
Workflow Automation
MLOps
Model Lifecycle Management
AI Governance
Responsible AI
Agile Delivery

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Work requirements

Jobs in Canada