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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 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 - shap
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.