Join Kainos and Shape the Future

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 Products 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 Products 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.

Desirable Experience:

BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.
Familiarity with Workday APIs, data structures, and integration patterns.
Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers).
Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems.
Participation in knowledge-sharing activities such as conferences, workshops, or blogs.

Who you are:

Determined – you’re flexible and overcome obstacles to get the job done to achieve personal and team goals.
Creative – you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems
Honest – always constructive when giving or receiving feedback, being transparent and truthful when dealing with others
Respectful – you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with
Cooperative – you share information, knowledge and experience, understanding the mutual benefits of team working.

Embracing our differences

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.

Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.

We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

Originally posted on Himalayas

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