Lead AI Engineer
Join Kainos and shape the future as a Lead AI Engineer within the Workday Practice. You will bridge data science and software engineering to productionise AI and machine learning solutions, delivering robust, scalable AI features that enhance our Workday product offerings.
You will work closely with data scientists, software engineers, and product teams to deliver seamless integration of AI models into production systems, optimise performance, and maintain the reliability of AI‑driven features.
Essential Experience
Extensive experience in software development with proficiency in Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production‑grade AI solutions.
Proven experience deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud‑native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud‑based AI solutions.
Proficiency in using containerisation technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.
Strong 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
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).
Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real‑world problems.
Active participation in knowledge‑sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation.
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 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 talent acquisition team is here to support you every step of the way. If you require any accommodations or adjustments, we encourage you to reach out so we can ensure our recruitment process is tailored to your needs.
Location: Dublin, County Dublin, Ireland
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