Senior AI Engineer

At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.

We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.

Ready to make your mark? Join us and be part of something bigger.

As a Senior AI Engineer within the Workday Practice at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday product offerings. Your focus will be on integrating AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features, while contributing to the technical growth of the team.

Essential Experience:

Solid experience in software development, with proficiency in languages such as Python, Java, or C++, writing clean, efficient, and maintainable code for production grade AI solutions.

Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.

Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.

Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.

Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.

Exposure to agile software development practices and experience working in agile teams.

Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.