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Added 53 mins ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 53 mins ago
Sr. Network Solution Design Engineer, Functional Engineering
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
We are seeking a Senior Micro segmentation Engineer to design, implement, and operationalize enterprise micro segmentation solutions across on-premise, cloud, and hybrid environments.
Added 1 hour ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
…decision‑making, and innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable…
Added 1 hour ago
Sr Software Development Engineer VNDLY
Workday
Toronto, ON · Greater Toronto Area, Canada
Full-time
As a Senior Software Development Engineer, you will be a technical leader on the team responsible for maintaining and building our pay-related features. This is a hands-on-keyboard role…
Added 1 hour ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
Full-time
We're looking for a Full Stack Software Engineer who is equally comfortable architecting robust backend services in GoLang and building rich, data-heavy interfaces in React. This is a…
Added 2 hours ago
Senior Infrastructure Engineer
Upstart
Canada
As the Senior Infrastructure Engineer joining this team, you will focus on:
Added 2 hours ago
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…
Added 2 hours ago
Senior Software Engineer
AspiringIT
Kitchener, ON
Full-time
Aspiring IT Inc. is seeking an experienced Senior Software Engineer to design, develop, integrate, and maintain scalable software applications and cloud-based systems.
Added 3 hours ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 3 hours ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 3 hours ago
Senior Manager, Data Product Manager
Scotiabank
Toronto, ON
The Senior Manager – Data Product Manager leads the strategy, lifecycle and value realization of data products and shared data capabilities for International Banking. Reporting to the…
Added 4 hours ago
Senior IAM Engineer
Collabera
Toronto, ON
$90 to $95 CAD / hour
Contract
The ideal candidate is a senior IAMC/authentication engineer with strong hands-on expertise in RSA Authentication Manager and RSA Cloud Authentication Service, combined with a solid…
Added 4 hours ago
Senior Developer Engineer/Leader
Xcelerated Consulting Group, LLC.
Montreal, QC
Contract
As a Senior Developer, you will serve as a technical leader and subject matter expert in the Regulatory Reporting framework. This in-house application ensures the firm meets its global…
Added 5 hours ago
Security Engineer
Signal 1
Toronto, ON
Full-time
We are looking for a Senior Security Engineer to join our Engineering Team. You will:
Added 5 hours ago
Senior Software Engineer
Bentley Systems
Quebec, QC
We are seeking a talented and experienced Senior Software Developer to join our Civil Engineering Applications team. In this role, you will help shape the future of industry-leading design…
Added 5 hours ago
DevOps Engineer II
commonsku
Remote, Canada
$110,000 to $130,000 CAD / year
Full-time · Remote
You’ll collaborate closely with the Senior DevOps Engineer and peers across the team, contribute to a high-trust environment, and play a direct role in shaping the future of the promo…
Added 6 hours ago
Senior Java Software Engineer
Dexian
Mississauga, ON
Contract
We are seeking an experienced Senior Java Backend Developer with 10+ years of software development experience and strong expertise in Java, Spring Boot, REST APIs, Microservices, and Cloud…
Added 7 hours ago
IAM System Engineer
Mindlance
Toronto, ON
$80 to $95 CAD / hour
Contract
Job Title: Senior IAM Systems Engineer - Advanced
Added 8 hours ago
DevOps Developer
Royal Bank of Canada
Toronto, ON
Full-time
…development and streamlining the software delivery lifecycle? As a Senior DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring…
Added 9 hours 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 10 hours ago
Lead Data Engineer
National Bank of Canada
Montreal, QC
Full-time
A career as a Senior Developer in Data Engineering on the Financial crime and regulatory projects team at National Bank means serving as a Data Analytics Specialist. This position allows…
Added 10 hours ago
Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
This is a hands-on senior engineering role at the intersection of data engineering, Data DevOps, cloud platform engineering, and production reliability.
Added 16 hours ago
Senior Software Engineer – Full Stack
Publicis Sapient
Toronto, ON
Full-time
As a Senior Full Stack Developer, you will design and build scalable, high-performing applications that support complex, business-critical and transactional platforms. You will work across…
Added 19 hours ago
Senior DevOp Engineer
MarkiTech.AI
Toronto, ON
$70 to $85 CAD / hour
Contract
About the Job Senior DevOps Engineer (alternate: Senior Cloud / Platform Engineer) About the role:
Added 19 hours ago
Senior Security Detection Engineer (Global Security)
RBC
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.…

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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