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Intelligent Systems Jobs in Ontario (NOW HIRING)

Our AI division is at the forefront of building intelligent systems, enterprise AI agents, and next-generation tools using advanced language models (LLMs), RAG pipelines, and machine learning ...

You will work at the intersection of large-scale data systems, Generative AI, and production agent frameworks to build systems that are fast, reliable, and intelligent enough to power autonomous ...

You will work at the intersection of large-scale data systems, Generative AI, and production agent frameworks to build systems that are fast, reliable, and intelligent enough to power autonomous ...

Product Manager - Automation

Toronto, ON · Hybrid

CA$100K - CA$130K/yr

In this role, you'll define and deliver intelligent systems that reduce manual effort, enhance decision-making, and transform how we operate. You'll work closely with data scientists, ML engineers ...

The Growth Tech Alliance's goal is to enable HelloFresh to drive smarter marketing through AI-powered automation, intelligent systems, and advanced optimization. We've pioneered cutting-edge ...

Architect and build production-grade intelligent systems and applications using existing LLMs (e.g., OpenAI, Claude, Gemini, etc.) through API integration, prompt engineering, fine-tuning, or ...

Your work will directly impact real-world physical AI devices, enabling intelligent systems to perceive, decide, and act in real time. Responsibilities * Design, develop, and optimize DSP and ...

Showing results 21-40

Intelligent Systems information

See Ontario salary details

$23.5K

$98.5K

$177.5K

How much do intelligent systems jobs pay per year?

As of Aug 30, 2026, the average yearly pay for intelligent systems in Ontario is $98,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What are intelligent systems?

Intelligent systems are advanced computer-based systems that can perceive, reason, learn, and act autonomously or semi-autonomously in complex environments. These systems often use artificial intelligence (AI), machine learning, and data analytics to solve problems, make decisions, and adapt to new information. Examples include self-driving cars, smart home devices, robotics, and speech recognition systems. Intelligent systems are widely used in industries such as healthcare, manufacturing, transportation, and finance to enhance efficiency and innovation.

What are the key skills and qualifications needed to thrive as an intelligent systems engineer, and why are they important?

To thrive as an Intelligent Systems Engineer, you need a solid background in computer science or engineering, proficiency in machine learning algorithms, and strong analytical skills, usually backed by a relevant degree. Familiarity with programming languages like Python or C++, knowledge of AI frameworks (such as TensorFlow or PyTorch), and experience with embedded systems or robotics platforms are typically required. Creative problem-solving, adaptability, and effective communication help professionals excel in interdisciplinary teams and innovative environments. These skills are essential for designing, implementing, and optimizing intelligent systems that solve complex real-world problems.

What are some common challenges faced by professionals working in intelligent systems roles, and how can they be addressed?

Professionals in Intelligent Systems often encounter challenges such as integrating AI solutions with legacy systems, ensuring data quality for machine learning models, and keeping up with rapid advancements in technology. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is key to overcoming these hurdles. Staying proactive through continuous learning and participating in industry forums or trainings also helps professionals remain effective and innovative in this evolving field.

What is the difference between Intelligent Systems vs Data Analysts?

AspectIntelligent SystemsData Analysts
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fieldsBachelor's or higher in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, research labs, AI development firmsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed in AI, automation, robotics, and software developmentUsed in data interpretation, reporting, and decision-making

Intelligent Systems focus on designing and developing AI-driven solutions, while Data Analysts interpret data to support business decisions. Both roles require analytical skills but differ in technical complexity and application areas.

What are popular job titles related to Intelligent Systems jobs in Ontario?

For Intelligent Systems jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Intelligent Systems jobs in Ontario look for?

The top searched job categories for Intelligent Systems jobs in Ontario are:

Infographic showing various Intelligent Systems job openings in Ontario as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $98,522 per year, or $47.4 per hour.

AI Scientist & Engineer, Assurance Innovation Lab

Kitchener, ON • Hybrid

Full-time

PTO

Re-posted 22 days ago


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 apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and scalable enterprise software engineering in our new Assurance Innovation Lab.

The Assurance Innovation Lab (ASR Labs) serves as the experimentation, innovation, and solution development engine supporting our practice. Working alongside other functions nationally - including our Innovation Operations, AI Studio - Central Lab, Central Data Team, and Innovation & Change (I&C) - you will help ideate, design, prototype, develop, and deliver scalable solutions that modernize how work gets done across our Assurance practice.

In this net new role, you will work with a team dedicated to building modern applications, intelligent workflow solutions, integrations, and AI-enabled platforms that support business transformation and operational modernization initiatives across our practice. You will be reporting to our Head of ASR Transformation, and have a dotted line to our technically astute managers in our AI Studio - Central Lab.

This hybrid role is responsible for extracting high-value insights from complex datasets, training custom large language models (LLMs), and designing, building, and deploying production-grade agentic workflows and retrieval-augmented generation (RAG) solutions. Operating under enterprise governance frameworks like ISO/IEC 42001 and the NIST AI Risk Management Framework (AI RMF), you will deliver responsible, scalable, and highly impactful AI systems that drive true business transformation.

The ideal candidate for this role will have 3-5 years of hands-on experience building, fine-tuning, deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full Stack Developers, and citizen developers on firm-wide strategic initiatives.

Key Responsibilities:

AI, Machine Learning & Advanced Analytics

  • Design, build, train, and optimize machine learning and AI models to support Assurance transformation initiatives

  • Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics, and automation capabilities

  • Support experimentation and prototyping of emerging AI technologies and use cases within Assurance

  • Evaluate model performance, explainability, reliability, and responsible AI considerations

  • Contribute to development of scalable AI-enabled workflows and intelligent operational solutions

Cross-Functional Collaboration & Business Partnership

  • Partner closely with Transformation Relationship Managers (TRMs), Assurance practitioners, Innovation & Change (I&C), Data & Analytics, and leadership teams

  • Contribute to multidisciplinary teams focused on solving business problems through technology, AI, automation, and workflow redesign

  • Support rapid experimentation, prototyping, and scaling of innovative solutions within the Assurance R&D Lab

  • Help bridge strategy, business operations, and technical execution to accelerate transformation outcomes

  • Translate complex business problems into practical analytical and AI-driven solutions

  • Participate in discovery sessions, design thinking workshops, ideation activities, and working groups

Data Engineering & Platform Enablement

  • Collect, clean, transform, and analyze large and complex datasets from multiple sources

  • Build and maintain scalable data pipelines and model integration frameworks

  • Support connected data and intelligence capabilities aligned to the broader Total Assurance Ecosystem strategy

  • Work with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalization

  • Collaborate with engineering teams to productionize and operationalize solutions

Innovation & R&D Collaboration

  • Work closely with the Assurance R&D Lab to validate concepts, prototype solutions, and scale successful initiatives

  • Stay informed on emerging trends across AI, automation, Assurance technology, data science, and intelligent systems

  • Help evaluate external tools, platforms, and ecosystem opportunities relevant to Assurance Transformation

  • Contribute to a culture of experimentation, innovation, and continuous improvement

Requirements

  • Programming Languages: Expert-level Python is required. Professional proficiency in R, Scala, Java, or TypeScript is highly desirable

  • AI & LLM Frameworks: Deep experience with OpenAI API, Anthropic, Hugging Face, LangChain, LlamaIndex, and LangGraph

  • Data Science & Deep Learning: Comprehensive experience with PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, and Matplotlib

  • Model Training: Practical knowledge of training and fine-tuning open-source LLMs/transformers (e.g., Llama, Mistral) and implementing Knowledge Graphs

  • Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases

  • DevOps / MLOps: Advanced proficiency with Docker, Kubernetes, Nvidia Triton Inference Server, and MLOps tracking platforms (MLflow, Weights & Biases)

  • Cloud Platforms: Strong working knowledge of enterprise cloud environments including Microsoft Azure (Azure AI / AI Foundry), AWS (Bedrock), or GCP

  • Architecture & Patterns: Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI design patterns

The expected range of compensation for this role is $110,000 to $160,000 annually.

Ideal Candidate Will Have

  • A systematic approach to problem-solving and devising practical solutions for complex enterprise bottlenecks

  • Published academic research in top-tier ML/AI conferences/journals OR demonstrated practical excellence through Kaggle competitions

  • High passion for translating complex data and multi-agent system capabilities into tangible, actionable business value

  • Strong business curiosity and problem-solving mindset

  • Passion for applying AI and data science to practical operational challenges

  • Ability to balance experimentation with scalable execution

  • Strong collaboration and stakeholder engagement skills

  • Interest in workflow modernization, intelligent automation, and future-state operating models

  • Passion for continuous learning and emerging technologies

Why Join the Assurance Innovation Lab?

This is an opportunity to help build the future of Assurance through modern platforms, intelligent workflows, and scalable AI-enabled solutions.

You will join a high-performing team to work on high-impact transformation initiatives that directly influence how the business operates and delivers value.

The role offers exposure to:

  • Enterprise transformation and innovation programs

  • AI-enabled applications and intelligent workflow solutions

  • Modern cloud and engineering ecosystems

  • Cross-functional collaboration with Assurance, AI-Studio, Data & Analytics, Innovation & Change, and leadership teams

  • Rapid experimentation and enterprise-scale delivery initiatives

  • Most importantly, you will help create practical solutions that improve how work gets done across our Assurance practice


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.


At BDO, our people experience is guided by three core pillars-Do work with genuine care, Do what matters with purpose, and Do what's next - shaping how we support our people, serve our clients, and grow together.

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.
  • We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose
  • We encourage innovation and forward thinking, empowering you to embrace what's next and help shape the future of our firm

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 comprehensive benefits from day one, and a flexible personal time off policy. We're committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts:
We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring - and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. 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 ourcareers page.


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