Senior AI Engineer, Supply Chain

Overview

Design, build and deploy enterprise AI solutions that integrate advanced AI models with business data, systems and workflows, delivering scalable, production-ready applications.

What you'll do

• Design, develop and deploy production models, services and pipelines that are reliable, scalable and maintainable.
• Partner with data science, product, data engineering and platform teams to translate business problems into technical solutions.
• Build and optimize model training, evaluation, deployment, monitoring and retraining workflows.
• Improve model performance, latency, cost efficiency, reliability and explainability in production environments.
• Develop reusable infrastructure, tooling, libraries and patterns that accelerate team delivery.
• Monitor deployed models for performance degradation, bias, drift and operational issues; recommend and implement corrective actions.
• Collaborate with stakeholders to communicate technical trade-offs, risks, timelines and recommendations clearly.
• Mentor engineers and contribute to technical standards, best practices and architecture decisions.
• Stay current with advances in practices.
• Lead the development and deployment of enterprise AI applications from concept through production.
• Build AI-powered solutions including intelligent agents, copilots and retrieval-augmented generation (RAG) applications.
• Develop integrations that connect AI capabilities with enterprise systems, data sources and business processes.
• Create reusable frameworks, components and engineering standards that accelerate solution delivery.
• Establish testing, evaluation and release criteria to ensure solution quality, reliability and business impact.
• Partner with internal teams and external vendors to ensure AI solutions meet technical, security and operational requirements.

What you'll need

• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.
• Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands.
• Strong communication skills: oral, written and presentation.
• Strong organization, planning and time management skills to achieve results.
• Strong personal and professional ethical values and integrity.
• Holds self-accountable to achieving goals and standards.
• Proficient in Microsoft Office programs (Outlook, Word, PowerPoint and Excel).
• Strong interpersonal and collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers.
• 5+ years of software engineering experience delivering production applications.
• Professional proficiency in spoken and written English.
• Experience developing AI, machine learning, generative AI or intelligent automation solutions.
• Strong proficiency in Python, APIs, system integration, cloud technologies and modern software development practices.
• Experience with AI technologies such as large language models (LLMs), intelligent agents, copilots or retrieval-augmented generation (RAG).
• Knowledge of software testing, CI/CD, deployment automation and production support best practices.
• Experience integrating solutions with enterprise platforms, business applications and data ecosystems.

Nice to have

• Azure, Azure AI services, Copilot Studio or Power Platform experience.
• Advanced degree in Computer Science, Software Engineering, Artificial Intelligence or a related technical field.