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Added 14 mins ago
K
Senior Integration Developer
Klick
Toronto, ON
- Full-time
The Senior Integration Developer designs, develops, and maintains enterprise integration solutions that connect CRM platforms, cloud data warehouses, lakehouses, databases, and downstream…
Added 14 mins ago
EC
Dotnet Developer
Experis Canada
Montreal, QC
- Contract
Built a .NET Core web job with Entity Framework Core to automatically pull and process documents, invoices, and service records from Azure Storage and deliver them to end clients.
Added 14 mins ago
VS
Machine Learning Engineer
vTech Solution Canada
Toronto, ON
- Contract
Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring and observability.
Added 44 mins ago
LH
Senior Systems Deployment Specialist
LGI Healthcare Solutions
Montreal, QC
- Full-time
Good knowledge of Azure DevOps and proficiency with tools used to prepare, execute, and track deployment work.
Added 44 mins ago
IG
BILINGUAL - Digital & Cybersecurity Analyst
Insight Global
Mirabel, QC
- $60 to $70 CAD / hour
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Experience working with Microsoft Active Directory, Entra ID/Azure, Microsoft 365, PowerShell, or related Microsoft technologies.
Added 44 mins ago
BI
PeopleSoft HCM Technical Delivery Lead
BURGEON IT SERVICES
Mississauga, ON
- Contract
Exposure to Generative AI and common AI platforms/tools such as GitHub Copilot, Microsoft Copilot, Azure OpenAI, and Azure AI Services. Understanding of AI-driven automation and process…
Added 44 mins ago
Test Automation Engineer
Red River Mutual
Winnipeg, MB
Solid understanding of CI/CD tools and practices, including Azure DevOps and/or Bitbucket.
Added 1 hour ago
MA
Oliver Wyman - Senior Lead AI Developer
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Toronto, ON
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer , you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 1 hour ago
TB
Forward Deployed AI Engineer
Type B Digital
Calgary, AB
- Full-time
Deployment experience on at least one major cloud (Azure, AWS or GCP), plus Docker, CI/CD and basic MLOps or LLMOps.
Added 1 hour ago
Java Developer (Onsite Hybrid)
NTT DATA Services
Montreal, QC
We are currently seeking a Java Developer (Onsite Hybrid) to join our team in Montreal, Quebec (CA-QC), Canada (CA).
Added 1 hour ago
MA
Support Specialist - AI Applications
Marsh Agency
Toronto, ON
- Full-time
Cloud technologies (AWS, Azure); ITIL certified; experience working in offshore–onsite delivery teams.
Added 2 hours ago
MC
Release Engineer
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St. Catharines, ON · Toronto, ON · Etobicoke, ON
- Full-time
Engineer reproducible builds: artifact and package versioning (Azure Artifacts, NuGet, npm), software dependency management, and secure build configuration
Added 2 hours ago
M
Senior Java Developer (with LLM expertise)
Miratech
Waterloo, ON
- Full-time
We are looking for a Senior Java Developer with LLM expertise to lead the technical design, development and integration of core banking application systems for a major financial services…
Added 2 hours ago
B
Senior Software Engineer - Trading Technology
BettingJobs
Toronto, ON
- Full-time
Cloud platforms (Azure preferred, AWS also valued)
Added 2 hours ago
B
Senior Software Engineer
BettingJobs
Toronto, ON
- Full-time
Proficiency with Redis, Kubernetes, and cloud platforms (Azure preferred)
Added 3 hours ago
BC
AI Engineer
BDO Canada
Toronto, ON
- Full-time
…data stores, and hands‑on exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform…
Added 7 hours ago
OT
Lead UX Developer (React)
Open Text Corporation
Waterloo, ON
- Other
…collaboration are key components of our corporate culture. As a Lead UX Developer on the Viewing and Transformation Development team, you will independently design, build, and constantly…
Added 8 hours ago
C
Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
…and identity integrations using Active Directory, Entra ID/Azure AD, LDAP, cloud platforms, applications, databases, and network…
Added 8 hours ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Deep hands-on experience with Azure Databricks or Databricks on a major cloud platform.
Added 9 hours ago
Information Technologist
Health Sciences North
ON · Sudbury, ON
…Service (SaaS) and Microsoft 365 (M365) products including Azure Active Directory (AD), Multi Factor Authentication (MFA), Intune, Exchange Online, OneDrive, and SharePoint…
Added 9 hours ago
Information Technologist
Health Sciences North
ON · Sudbury, ON
…Service (SaaS) and Microsoft 365 (M365) products including Azure Active Directory (AD), Multi Factor Authentication (MFA), Intune, Exchange Online, OneDrive, and SharePoint…
Added 9 hours ago
C
Développeur Intermédiaire SR- Microsoft Business Central
CGI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Familiarité avec Git, Azure DevOps ou autres outils de CI/CD.
Added 9 hours ago
C
SR Automation TOSCA DI Lead
Cognizant
Mississauga, ON
- Full-time
Harness, Jenkins, Azure DevOps, or GitHub Actions
Added 10 hours ago
TC
Senior DevSecOps and Application Security SME
ThirdEye CyberSecurity
Regina, SK
- Contract
Integrate security testing into GitHub Actions, Azure DevOps pipelines, pull request workflows, build processes, release gates, and other automated delivery workflows where appropriate.
Added 11 hours ago
OT
Support Engineer I
Opti9 Technologies
Ottawa, ON
- $55,000 to $60,000 CAD / year
- Full-time
Knowledge of public cloud platforms (IaaS and PaaS) – Azure/AWS/GCP

BDO Canada

AI Engineer

Toronto, ON, Canada

The expected range of compensation for this role is $77,000 to $117,000 annually. · Full-time

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Job details

Pay: The expected range of compensation for this role is $77,000 to $117,000 annually.
Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: May 11, 2026

Original job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy production‑grade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterprise‑ready AI capabilities with a strong focus on large language models (LLMs), retrieval‑augmented generation (RAG), and agentic workflows, operating within established governance frameworks.

Responsibilities:

Design, build, and deploy robust, scalable, production‑grade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
Develop, refine, and optimize complex prompt strategies; manage model context windows; and fine‑tune models where required to maximize performance, accuracy, and cost efficiency.
Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloud‑native architectures.
Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrieval‑augmented generation (RAG) solutions.
Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and token‑cost optimization.
Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full‑Stack Developers, Service Line Labs, and Citizen Developers on firm‑wide initiatives and internal platforms.
Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and change‑management activities.
Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
Support the implementation of risk‑mitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

The expected range of compensation for this role is $77,000 to $117,000 annually.

How do we define success for your role?

You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration
You understand your client’s industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work
You identify, recommend, and are focused on effective service delivery to your clients
You share in an inclusive and engaging work environment that develops, retains & attracts talent
You actively participate in the adoption of digital tools and strategies to drive an innovative workplace
You grow your expertise through learning and professional development.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering.
Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
Deep hands‑on experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLM‑based application design.
Proven experience designing and implementing retrieval‑augmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, production‑grade AI architectures.
Experience working with vector databases as well as SQL and NoSQL data stores, and hands‑on exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
Familiarity with machine learning lifecycle and experiment‑tracking tools such as MLflow or Weights & Biases.

Why BDO?

Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026. This recognition is a milestone we’re thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It’s about creating work experiences that meet everyone’s needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada’s Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click “Apply now” to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out our careers page.

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More about this job

Responsibilities

Design, build, deploy, and monitor production-grade AI applications, including LLM, RAG, and agentic systems, and integrate them into enterprise environments using APIs, cloud architectures, and data pipelines. Support AI governance, risk management, documentation, testing, validation, and ongoing monitoring in accordance with established frameworks and policies.

Requirements

Requires a bachelor’s or master’s degree in computer science, engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering. Candidates should have expert Python skills, hands-on experience with LLM frameworks, RAG and agentic systems, vector and other databases, cloud platforms, and DevOps/MLOps tools and practices.

Skills

Python
Java
TypeScript
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Prompt Engineering
LangChain
LlamaIndex
LangGraph
Vector Databases
RESTful APIs
Cloud-Native Architecture
Docker
Kubernetes
MLOps

Benefits

Flexible Benefits
Personal Time Off
Wellness Reimbursement
Learning And Development Opportunities
Community Involvement Opportunities
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
Python
Java
TypeScript
OpenAI APIs
Anthropic
Hugging Face
LangChain
LlamaIndex
LangGraph
AutoGPT
Prompt Engineering
Vector Databases
Pinecone
Milvus
Weaviate
RESTful APIs
Microservices
Azure AI
AWS Bedrock
Google Cloud Platform
Docker
Kubernetes
CI/CD
MLflow
Weights & Biases

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