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Added 1 min ago
DevOps Manager
Rightsline Inc
Toronto, ON
$85,000 to $95,000 CAD / year
Rightsline is hiring a DevOps Manager, based in Toronto, to lead the team that owns our cloud platform, delivery pipelines, and production reliability across North America and Europe. You…
Added 1 min ago
Senior Data Modeler
OMERS
Toronto, ON · Head Office Toronto
Full-time
…documentation. You will collaborate closely with business, engineering, DevOps, infrastructure, and security leaders throughout the development lifecycle to ensure solutions are fit for…
Added 14 mins ago
Mainframe DB2 Developer.
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Added 14 mins ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps)
Added 14 mins ago
Industrial Software Validation|
Husky Technologies
Bolton, ON
Full-time
Experience with Agile/Scrum practices and Azure DevOps tools
Added 14 mins ago
network system administrator
ICON Creative Studio
Vancouver, BC
Full-time
Added 16 mins ago
Release Train Engineer II
TD
Toronto, ON
Full-time
Improves the flow of value through value streams by working to improve DevOps and Release on Demand Competency
Added 16 mins ago
Guidewire Cloud Developer
BCAA
*Head Office
Full-time
As a Guidewire Cloud Developer, you will play a key role in BCAA's Guidewire Cloud transformation, helping to deliver and support scalable, secure, and high-performing insurance technology…
Added 43 mins ago
Java Full Stack Developer
Spait Infotech
Canada
Full-time
Collaborate with UI/UX designers, QA engineers, DevOps engineers, and business teams.
Added 43 mins ago
Azure Data Engineer
Spait Infotech
Canada
Full-time
Added 43 mins ago
Technical Program Manager
Raas Infotek
Vancouver, BC
Contract
…software engineering, quality assurance, cloud platforms, and DevOps operations. The ideal candidate will have a strong technical background with hands-on experience in software development…
Added 43 mins ago
Senior Quality Assurance Automation Engineer
Tekgence Inc
Montreal, QC
Contract
Knowledge and Technical Leadership experience with supporting products in a DevOps environment
Added 43 mins ago
Java Developer
Dexian
Mississauga, ON
Other
Seeking a Full Stack Developer with strong experience in Java backend development, Angular frontend frameworks, and NoSQL databases such as MongoDB. This role contributes to the design,…
Added 43 mins ago
Senior Full Stack Developer / Senior Designer-Developer
Confiar Services
Toronto, ON
$60 to $65 CAD / hour
Contract
We are looking for a Senior Full Stack Developer / Senior Designer-Developer with 6–8 years of software development experience to support enterprise applications. The ideal candidate will…
Added 43 mins ago
Full Stack .NET Developer
K&K Global Talent Solutions INC.
Mississauga, ON
Full-time
We are seeking a highly skilled Full Stack .NET Developer with strong expertise in C#, .NET Core, ASP.NET Core, Microservices, REST APIs, and SQL Server. The ideal candidate will lead a…
Added 43 mins ago
Java FS, .NET FS, Angular UI
Zodiac Solutions, Inc
Mississauga, ON
Full-time
· Familiarity with DevOps and CI/CD practices, including tools such as GitHub, Harness, and Tekton for source
Added 1 hour ago
Intermediate Specialist, Service Management
Porter Airlines Inc.
Toronto, ON
Full-time
Added 1 hour ago
Engineering Co-op, NA Integrated Analytics (2027 Summer - Toronto)
Munich Re
Toronto, ON
Build highly scalable products with best security, ML, DevOps practices
Added 1 hour ago
Data Science Co-op, NA Integrated Analytics (2027 Summer - Toronto)
Munich Re
Toronto, ON
Build highly scalable products with best security, ML, DevOps practices
Added 1 hour ago
Backend Developer Intern, Winter 2027
Coveo
Montreal, QC
…contribute to our CI/CD ecosystem, and gain hands-on experience with DevOps and infrastructure technologies at…
Added 1 hour ago
Backend Developer Intern, Winter 2027
Coveo
Quebec, QC
…contribute to our CI/CD ecosystem, and gain hands-on experience with DevOps and infrastructure technologies at…
Added 1 hour ago
DevOps Specialist
Manulife
Toronto, ON
Full-time
We are seeking a collaborative DevOps professional who is passionate about automation, continuous improvement, cloud technologies, and building secure, scalable solutions. The successful…
Added 1 hour ago
BUSINESS PROG & SOLUTIONS SPECIALIST(Full Stack Software Specialist)
City of Toronto
Toronto, ON
…help to leverage AI and Cloud technologies, modern Agile and DevOps approach, and partner with business leaders on major transformational initiatives. We offer much more than just a salary.…
Added 1 hour ago
Microsoft / Terraform Cloud Platform Engineer
TECONICA SOFTWARES
Toronto, ON
Contract
Implement and maintain Azure DevOps CI/CD pipelines.
Added 1 hour ago
Technical Program Manager
Raas Infotek
Vancouver, BC
Contract
…software engineering, quality assurance, cloud platforms, and DevOps operations. The ideal candidate will have a strong technical background with hands-on experience in software development…

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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