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Added 15 mins ago
Développeur Logiciel Systèmes de Build / Build Systems Software Developer
OPAL-RT TECHNOLOGIES India Pvt. Ltd.
Montreal, QC
Other
Added 15 mins ago
Ingénieur Électrique Application Clients - Customer Application Engineer
GE Vernova
Saint-Tite-des-Caps, QC
Full-time
The Lead Application Engineer is a technical leader within the engineering team. You will contribute to the commercial strategy through their technical and economic understanding of the…
Added 16 mins ago
Senior Security Detection Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
The role of the Senior Security Detection Engineer is to provide specialized subject matter expertise for the Detection Engineering & Automation (DEA) team, for RBC's Global Cyber Security.…
Added 30 mins ago
Senior Data Engineer
Style Analytics
Montreal, QC
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 30 mins ago
Electrical/Avionics Engineer
VHR Global Technical Recruitment
Montreal, QC
$120,000 to $150,000 CAD / year
Full-time
We are seeking an Avionics / Electrical Engineer to join a leading aerospace engineering and aircraft certification organisation in Montreal. The successful candidate will support aircraft…
Added 1 hour ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Added 1 hour ago
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
Full-time
We have an opening for an Industrial / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 1 hour ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Advanced business process knowledge in one or more of the following areas: Finance, Discrete Manufacturing, Engineer-to-Order (ETO) Manufacturing, Supply Chain, Warehouse Management, and…
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Lead Data Engineer
National Bank of Canada
Montreal, QC
Full-time
Added 1 hour ago
Regional Sourcing Manager (Electronics Lane)
Husky Technologies
Bolton, ON
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Support supplier quality engineer and suppliers with supplier audit process and part qualifications
Added 1 hour ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
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The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 1 hour ago
Product Development Engineer|
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Bolton, ON
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Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 1 hour ago
Team Leader Production
Lamb Weston APAC
Taber, AB
Full-time
Added 1 hour ago
Application Security Engineer
Cybage Software
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Contract
Added 1 hour ago
Senior Data Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
The Senior Data Engineer is responsible for designing, building, and operating reliable, scalable data pipelines and data products across a modern cloud data platform.
Added 1 hour ago
Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
We are looking for a Senior Data Platform Engineer to design, automate, and operate the shared capabilities that underpin our enterprise data platform.
Added 1 hour ago
Senior Data Quality Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Data Quality Engineer to build and operate the testing and validation capabilities that ensure data delivered through our enterprise data platform is accurate,…
Added 2 hours ago
Senior Quality Assurance Quality Control Engineer
Copper Quail Global
ON · Ontario, Canada
$62,000 to $90,000 CAD / year
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Added 2 hours ago
Lead Radio Systems (LMR) Engineer/Specialist
Novus Technical Services
Calgary, AB
Full-time
We are currently looking for an experienced and highly motivated Lead Radio Systems (LMR) Engineer/Specialist to join our Calgary team. The successful candidate will lead the planning,…
Added 2 hours ago
AI Engineer
GEI Consultants, Inc.
Guelph, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 3 hours ago
Supervisor, Mill Maintenance
Teck Resources Limited
Kamloops, BC
$106,000 to $131,000 CAD / year
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Recognized trade qualification as a Millwright, Welder, Machinist, Pipefitter or qualifications as a Mechanical Engineer;
Added 3 hours ago
Hardware Engineer
Actalent
Vancouver, BC
Contract
We are seeking a Hardware Engineer to support an established portfolio of electronic products used in demanding industrial applications. The position is primarily focused on sustaining…
Added 3 hours ago
Mechanical Engineer
Actalent
Burnaby, BC
Contract
Are you a Sr. Mechanical Engineer who enjoys seeing your designs come to life, solving complex equipment challenges, and staying involved beyond the drawing board?
Added 3 hours ago
Mechanical Engineer
Actalent
Vancouver, BC
Contract
We are seeking a skilled Mechanical Engineer to support the design and development of complex mechanical equipment and assemblies using SolidWorks. This position offers the opportunity to…
Added 3 hours ago
Hardware Engineer
Actalent
Ottawa, ON · Kanata, ON
Contract

Hays

Lead AI engineer

Halifax, NS, Canada

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

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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 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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