AI Solutions Developer

Job mission
The AI Solutions Developer in the ASML Data Analytics team is responsible for designing, building, and integrating AI-driven capabilities into scalable, enterprise-grade applications. Rather than focusing solely on model development, you will work on industrializing AI solutions, ensuring they are robust, maintainable, and deliver real business value. You will collaborate closely with data scientists, data engineers, software developers, and business stakeholders to transform AI concepts into production-ready products and services. In this role, you will contribute to the evolution and management of AI services within the Data Analytics Platform in the IT Chief Data Office, enabling the organization to leverage AI at scale.

Roles and responsibilities

• Design and build AI-driven solutions that address complex business challenges and deliver measurable value.
• Deploy AI-enabled applications into production environments, ensuring scalability, reliability, and maintainability.
• Collaborate with data scientists, data engineers, software developers, and business stakeholders to translate requirements into robust AI-powered solutions.
• Stay current with emerging AI and software development technologies and apply them where relevant.
• Participate in code reviews, testing, and documentation to maintain high-quality standards.
• Monitor and improve deployed AI components to ensure performance, accuracy, and compliance over time.
• Develop automated deployment strategies, including CI/CD pipelines and containerization (e.g., Docker, Kubernetes), to streamline delivery of AI-enabled applications.

Education and experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or a related field.
• 5+ years of experience in designing and developing software solutions that integrate AI capabilities.
• Hands-on experience with GenAI technologies such as RAG, MCP, or similar. Proficiency in Python and strong knowledge of modern software engineering practices (testing, CI/CD, code quality).
• Experience with Azure cloud platform (knowledge of GCP is a plus). Familiarity with integrating AI services (e.g., Azure AI, OpenAI, custom ML APIs) into enterprise applications.
• Understanding of containerization and orchestration (Docker, Kubernetes) for deploying AI-enabled applications.
• Knowledge of Infrastructure as Code (e.g., Terraform, Bicep) is a plus.
• Awareness of security, privacy, and compliance standards (e.g., GDPR, ISO 27000).

Skills

• A strong passion for AI and its applications in solving real-world problems.
• A customer-centric and value-driven mindset and approach to developing AI/ML solutions.
• Strong analytical and problem-solving skills and the ability to make data-driven decisions.
• Excellent collaboration and communication skills and the ability to work effectively with different stakeholders and teams.
• Strong knowledge of machine learning algorithms, techniques, and best practices. Understanding of data architecture and data modeling concepts.
• Familiarity with agile and scrum methodologies and best practices.
• Strong familiarity with software engineering practices and Python as preferred programming language.
• Ability to drive automation for improved efficiency and scalability.