1 day ago
Toronto, CanadaStaff+
Responsibilities
- Design and develop scalable AI solutions aligned with client business strategies, environmental requirements, and benefits cases.
- Serve as an AI technical advisor and subject-matter expert across the Microsoft ecosystem.
- Translate customer business requirements into AI and IoT value propositions, solution scopes, and technical architectures.
- Analyze client processes, identify AI opportunities, and recommend approaches based on client maturity.
- Estimate, design, support, and help deliver AI deals and client engagements.
- Facilitate team meetings, client meetings, and pre-sales presentations.
- Assist with delivery as an AI SME, Solution Architect, or Technical Architect.
- Build AI assets and enable internal and external stakeholders.
- Advise AI project teams on delivery approaches, strategy, best practices, and quality assurance.
- Design data flows and build or support data pipelines, data streams, system integrations, and data preparation processes.
Requirements
- Approximately five to seven years of experience in a similar professional position.
- 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 with .NET, Python, LLM solution architecture and development, Generative AI, Azure OpenAI, time-series analytics, and real-time or near-real-time streaming analytics.
- Knowledge of data science and machine learning principles, DevOps, MLOps, software development life cycle practices, and Agile development.
- Experience preparing data for consumption, including data profiling, cataloging, mapping, pipeline development, and system integration.
- Strong software engineering, solution architecture, enterprise architecture, infrastructure architecture, and data science capabilities.
- 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.
- Microsoft Certified Data Science Associate certification is preferred.
- Strong management consulting, communication, customer-facing, analytical, and problem-solving skills.
- Ability to write solid code, work hands-on, explain AI use cases across multiple industries, and travel as needed.
Benefits
- Full-time employment with an annual base salary range of $145,000 to $172,000 for roles located in British Columbia or Ontario, subject to location, skills, experience, and other factors.
- Benefits information is provided through Avanade's Canada Employee Benefits program.
- Travel is required as needed.
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.