Lead AI Engineer - Workday Products

Sync NI

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

kainos.wd3.myworkdayjobs.com

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Information Engineering Data Structures Python (Programming Language) Machine Learning Azure Machine Learning

+17 more

Software Engineering Systems Integration Workflow Management Systems Data Processing Large Language Models Deep Learning Generative AI Containerization Kubernetes Information Technology HuggingFace Machine Learning Operations GPT Software Version Control Data Pipelines Workday Docker

Job description

As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features.

Requirements

Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions.
Proven experience in 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 containerization 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.