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About the Role

BDO is seeking an AI Scientist & Engineer to bridge advanced data science, experimental machine learning, and scalable enterprise software engineering within their Assurance Innovation Lab. This role involves ideating, designing, prototyping, developing, and delivering scalable solutions to modernize Assurance practice operations. You will extract insights from complex datasets, train LLMs, and deploy production-grade agentic workflows and RAG solutions, operating under enterprise governance frameworks to deliver responsible AI systems.

Responsibilities

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.
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.
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.
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

Expert-level Python is required.
Professional proficiency in R, Scala, Java, or TypeScript is highly desirable.
Deep experience with OpenAI API, Anthropic, Hugging Face, LangChain, LlamaIndex, and LangGraph.
Comprehensive experience with PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, and Matplotlib.
Practical knowledge of training and fine-tuning open-source LLMs/transformers (e.g., Llama, Mistral) and implementing Knowledge Graphs.
Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases.
Advanced proficiency with Docker, Kubernetes, Nvidia Triton Inference Server, and MLOps tracking platforms (MLflow, Weights & Biases).
Strong working knowledge of enterprise cloud environments including Microsoft Azure (Azure AI / AI Foundry), AWS (Bedrock), or GCP.
Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI design patterns.
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.

Skills

Python
R
Scala
Java
TypeScript
OpenAI API
Anthropic
Hugging Face
LangChain
LlamaIndex
LangGraph
PyTorch
TensorFlow
Scikit-Learn
Pandas
NumPy
Matplotlib
LLMs
Knowledge Graphs
Pinecone
Milvus
Weaviate
SQL
NoSQL
Docker
Kubernetes
Nvidia Triton Inference Server
MLops
MLflow
Weights & Biases
Microsoft Azure
AWS
GCP
Retrieval-Augmented Generation (RAG)
Multi-Agent AI
NLP
Generative AI
Predictive Analytics
Automation

Location

Hybrid

Work Type

Hybrid

Experience Level

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.

Salary/Compensations

$110,000 to $160,000 annually.

Benefits

Award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.
Competitive total cash compensation that recognizes and rewards your contribution.
Comprehensive benefits from day one.
Flexible personal time off policy.
Reimbursement for wellness initiatives that fit your lifestyle.
Opportunities for learning and development.
Support for achieving personal goals outside of the office and making an impact on your community.
Collaborative, inclusive environment where your ideas are valued.
Support for local charity initiatives.
Opportunity to contribute to your community through local and national events.

About the Company

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.
Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026.
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.
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.
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.

Equal Opportunity

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.