Job descriptionPutting people first, every dayBDO 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 with a high priority on your personal and professional growth.Your OpportunityWe 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 recent 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 AnalyticsDesign, build, train,



and optimize machine learning and AI models to support Assurance transformation initiativesDevelop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics, and automation capabilitiesSupport experimentation and prototyping of emerging AI technologies and use cases within AssuranceEvaluate model performance, explainability, reliability, and responsible AI considerationsContribute to development of scalable AI-enabled workflows and intelligent operational solutionsCross-Functional Collaboration & Business PartnershipPartner closely with Transformation Relationship Managers (TRMs), Assurance practitioners, Innovation & Change (I&C), Data & Analytics, and leadership teamsContribute to multidisciplinary teams focused on solving business problems through technology, AI, automation, and workflow redesignSupport rapid experimentation, prototyping, and scaling of innovative solutions within the Assurance R&D LabHelp bridge strategy, business operations, and technical execution to accelerate transformation outcomesTranslate complex business problems into practical analytical and AI-driven solutionsParticipate in discovery sessions, design thinking workshops, ideation activities, and working groupsData Engineering & Platform EnablementCollect, clean, transform, and analyze large and complex datasets from multiple sourcesBuild and maintain scalable data pipelines and model integration frameworksSupport connected data and intelligence capabilities aligned to the broader Total Assurance Ecosystem strategyWork with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalizationCollaborate with engineering teams to productionize and operationalize solutionsInnovation & R&D CollaborationWork closely with the Assurance R&D Lab to validate concepts, prototype solutions, and scale successful initiativesStay informed on emerging trends across AI, automation, Assurance technology, data science, and intelligent systemsHelp evaluate external tools, platforms, and ecosystem opportunities relevant to Assurance TransformationContribute to a culture of experimentation, innovation, and continuous improvementRequirementsProgramming Languages: Expert‐level Python is required. Professional proficiency in R, Scala, Java, or TypeScript is highly desirableAI & LLM Frameworks:



Deep experience with OpenAI API, Anthropic, Hugging Face, LangChain, LlamaIndex, and LangGraphData Science & Deep Learning: Comprehensive experience with PyTorch, TensorFlow, Scikit‐Learn, Pandas, NumPy, and MatplotlibModel Training: Practical knowledge of training and fine‐tuning open‐source LLMs/transformers (e.G., Llama, Mistral) and implementing Knowledge GraphsData & Vector Infrastructure: Hands‐on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databasesDevOps / 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 GCPArchitecture & Patterns: Demonstrated mastery of Retrieval‐Augmented Generation (RAG) architectures and multi‐Agent AI design patternsIdeal Candidate Will HaveA systematic approach to problem‐solving and devising practical solutions for complex enterprise bottlenecksPublished academic research in top‐tier ML/AI conferences/journals OR demonstrated practical excellence through Kaggle competitionsHigh passion for translating complex data and multi‐agent system capabilities into tangible, actionable business valueStrong business curiosity and problem‐solving mindsetPassion for applying AI and data science to practical operational challengesAbility to balance experimentation with scalable executionStrong collaboration and stakeholder engagement skillsInterest in workflow modernization, intelligent automation, and future‐state operating modelsPassion for continuous learning and emerging technologiesWhy 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 programsAI‐enabled applications and intelligent workflow solutionsModern cloud and engineering ecosystemsCross‐functional collaboration with Assurance, AI‐Studio, Data & Analytics, Innovation & Change, and leadership teamsRapid experimentation and enterprise‐scale delivery initiativesMost importantly, you will help create practical solutions that improve how work gets done across our Assurance practice #J-18808-Ljbffr

📌 Ai Scientist & Engineer, Assurance Innovation Lab (Kitchener)
🏢 BDO
📍 Kitchener