6 months ago
Toronto, CanadaStaff+
Responsibilities
- Design scalable AI solutions aligned with business strategy, benefits cases, and client environmental requirements.
- Serve as an AI technical advisor and subject-matter expert across the Microsoft ecosystem.
- Facilitate team, client, and pre-sales meetings and presentations.
- Translate customer business requirements into AI and IoT value propositions and solution scopes.
- Analyze client processes, identify AI opportunities, and recommend approaches based on client maturity.
- Estimate, design, and help drive AI deals and delivery.
- Build AI assets and enable internal and external stakeholders.
- Support project delivery as an AI SME, Solution Architect, or Technical Architect.
- Provide best-practice guidance and quality assurance to AI project teams.
- Design data flows, data pipelines, data streams, system integrations, and data preparation solutions.
- Travel as needed.
Requirements
- Management consulting and systems integration experience is strongly preferred.
- Experience with AI algorithms, AI hardware accelerators, machine learning, computer vision, and Azure data and AI services.
- Experience with TensorFlow, CUDA, ONNX, Caffe, or similar machine learning frameworks is preferred.
- Experience applying data and analytics to business use cases, including data profiling, cataloging, mapping, and preparation for consumption.
- Experience building data pipelines, data streams, system integrations, and real-time or near-real-time streaming analytics solutions.
- Experience with .NET, Python, LLM solution architecture and development, Generative AI, Azure OpenAI, time-series analytics, and Azure Machine Learning.
- Understanding of data science and machine learning principles, DevOps, MLOps, software development life cycle, and Agile development.
- Master's degree or Ph.D. in computer science, applied mathematics, statistics, machine learning, or a related quantitative field, or an equivalent combination of education and experience.
- Approximately five to seven years of experience in a similar professional position.
- Microsoft Certified Data Science Associate certification is likely preferred.
- Experience spanning management consulting, software engineering or architecture, data science, infrastructure architecture, and enterprise architecture.
- Strong communication, customer-facing, consulting, coding, problem-solving, and architectural decomposition skills.
- Ability to discuss AI use cases across multiple industries and work comfortably in a hands-on position.
Benefits
- Full-time employment with benefits information provided through Avanade's Canada Employee Benefits program.
- Travel as needed.
- Role location and compensation guideline cover British Columbia and Ontario, Canada.
Categories
AI ApplicationsSolutions Engineering
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.