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Added 4 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 49 mins ago
Lead Data Engineer
National Bank of Canada
Montreal, QC
Full-time
Knowledge of Amazon Web Services, Snowflake, Terraform and collaborative development tools, as well as DevOps practises, automation, automated testing and continuous integration and…
Added 1 hour ago
Application Security Engineer
Cybage Software
Canada
Contract
This role will require you to lead security engineering initiatives, perform advanced risk assessments, and design scalable security controls across critical applications. You will serve as…
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 8 hours ago
DevOps Engineer
ZTR
London, ON
Full-time
As the DevOps Engineer, you will work closely with development, security, and IT teams to operate, maintain, and continuously improve ZTR’s cloud platform infrastructure, ensuring reliable,…
Added 9 hours ago
Senior DevOp Engineer
MarkiTech.AI
Toronto, ON
$70 to $85 CAD / hour
Contract
We are hiring a senior DevOps engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…
Added 10 hours ago
Sr Android Engineer
RBC
Toronto, ON
Full-time
Providing technology and application development expertise – Lead analysis, design, coding, testing, tracking and deployment
Added 10 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.…
Added 11 hours ago
Mainframe Devops Tools Migration Expert
J&M Group
Canada
Full-time
8+ years as a Systems Programmer, Application Developer, or Mainframe DevOps Engineer.
Added 12 hours ago
Senior Data Engineer, Analytics
nesto
Vancouver, BC
Full-time
…Power BI reports, client extracts and internal tools. You'll lead new initiatives from first stakeholder conversation through to production. In your first year, you'll get up to speed on…
Added 12 hours ago
Senior Data Engineer, Analytics
nesto
Vancouver, BC
Full-time
…Power BI reports, client extracts and internal tools. You'll lead new initiatives from first stakeholder conversation through to production. In your first year, you'll get up to speed on…
Added 12 hours 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 12 hours 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 12 hours 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 13 hours ago
Technical Program Manager
Raas Infotek
Vancouver, BC
Contract
We are seeking an experienced Technical Program Manager (TPM) to lead the delivery of complex technology initiatives across software engineering, quality assurance, cloud platforms, and…
Added 14 hours ago
Technical Program Manager
Raas Infotek
Vancouver, BC
Contract
We are seeking an experienced Technical Program Manager (TPM) to lead the delivery of complex technology initiatives across software engineering, quality assurance, cloud platforms, and…
Added 14 hours ago
Technical Program Manager Retail industry background
Raas Infotek
Vancouver, BC
Contract
We are seeking an experienced Technical Program Manager (TPM) to lead the delivery of complex technology initiatives across software engineering, quality assurance, cloud platforms, and…
Added 14 hours ago
Test Lead/ Sr. SDET
Galactic Minds INC
Vancouver, BC
Full-time
We are seeking a Test Lead + Sr. SDET at Onsite with strong Test leadership skills and hands-on experience to Data/ETL Testing, Automation Testing and Test leadership activities. The role…
Added 14 hours ago
Technical Program Manager (Retail industry)
Raas Infotek
Vancouver, BC
Contract
We are seeking an experienced Technical Program Manager (TPM) to lead the delivery of complex technology initiatives across software engineering, quality assurance, cloud platforms, and…
Added 14 hours ago
Lead AI engineer
Hays
Halifax, NS
$150,000 to $175,000 CAD / year
Full-time
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…
Added 14 hours ago
Lead Quality Assurance Engineer
Gala Solutions
Halifax, NS
Contract
The Lead QA will be responsible for the end-to-end quality assurance of the solution, including understanding the overall system architecture and business flows, coordinating requirements…
Added 14 hours ago
Senior Manager, Data Services & Platforms
Purolator
ON · Mississauga, ON
Lead DevOps and CI/CD implementation for data platform deployments, ensuring consistent and repeatable release management
Added 15 hours ago
Digital Technical Delivery Lead
Raise
Calgary, AB
Contract
The Senior Digital Technical Delivery Lead will report into an enterprise Digital Program and focuses on leading delivery teams in the planning, design, development in support of the…
Added 16 hours ago
Machine Learning Engineer
Insight Global
Toronto, ON
$70 to $85 CAD / hour
Contract
8+ years in ML engineering, data engineering, or software engineering, with substantial recent time at a staff/lead level of technical scope.
Added 16 hours ago
Technical Program Manager
KTek Resourcing
Vancouver, BC
Contract
We are seeking an experienced Technical Program Manager (TPM) to lead the delivery of complex technology initiatives across software engineering, quality assurance, cloud platforms, and…

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.

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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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