Ai Engineer (group It)

Responsibilities

• Design, develop, and deploy GenAI/LLM-based applications such as copilots, chatbots, search, and knowledge assistants.
• Work with enterprise platforms (e.g., Azure OpenAI, Azure AI Services, SAP AI capabilities) to build and integrate AI solutions.
• Translate business use cases into AI solution architectures, including prompt design, orchestration, and API integration.
• Able to conduct data analysis and data engineering/modelling to prepare data for model training.
• Develop and manage end-to-end AI pipelines, including data ingestion, preprocessing, embedding, model interaction, and output validation.
• Collaborate with cross-functional teams (business users, IT, vendors) to ensure AI solutions align with operational needs and enterprise architecture.
• Ensure responsible AI practices, including governance, security, data privacy, and model evaluation.
• Improve and maintain AI systems for performance, scalability, and cost efficiency.
• Stay updated with emerging AI technologies and continuously enhance the organization's AI capabilities.
• Gradually expand into machine learning model development, predictive analytics, and advanced data science use cases.

Requirements

• Degree in Computer Science, Information Technology, Engineering, or equivalent, with at least 2–5 years of experience in software engineering, data engineering, or AI/ML-related roles.
• Hands-on experience or strong exposure to GenAI/LLM technologies (e.g., Azure OpenAI, LangChain, prompt engineering).
• Familiarity with cloud platforms (preferably Azure) and API-based system integration.
• Experience in programming languages such as Python, JavaScript, or similar.
• Understanding of data concepts including data pipelines, embeddings, vector databases, and APIs.
• Proficiency in advance SQL and major data platforms (relational, cloud data warehouse and big data tools)
• Strong problem-solving skills with the ability to translate business needs into technical solutions.
• Exposure to SAP ecosystem or enterprise systems integration is an advantage.
• Understanding of machine learning concepts and willingness to grow into ML model development.
• Strong communication skills and ability to work effectively in cross-functional teams.
• Self-driven, adaptable, and keen to learn emerging AI technologies.