The Senior AI Engineer, Supply Chain designs, builds, and deploys enterprise AI solutions that integrate advanced AI models with business data, systems, and workflows. This role delivers scalable, production-ready applications that drive business value while leveraging modern AI technologies, automation, and engineering best practices.
General Responsibilities
- 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.
Experience / Qualifications
- 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 & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers
Additional Responsibilities:
- 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.
Additional Qualifications:
- 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.
- Azure, Azure AI services, Copilot Studio, or Power Platform experience preferred.
- Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field preferred.
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