• Build Generative AI Solutions:
• Design and implement LLM based solutions aligned to business needs
• Build and refine AI agents capable of reasoning, taking actions, interacting with data sources, and orchestrating workflows
• Apply solid knowledge of ML and LLM concepts to choose models, design prompts, understand training processes conceptually (even if not performing training), and operate models responsibly
• Implement and optimize deployment strategies in production environments
• Improve model performance through structured evaluation, quality measurement, hallucination reduction, and safety guardrails

• Platform, Cloud & Operations:
• Deploy LLM and agent based solutions on cloud infrastructure (preferably Azure)
• Ensure reliability, observability, and efficient resource usage for LLM workloads
• Apply best practices in identity, access control, data protection, and enterprise security policies

• Collaboration & Documentation:
• Work closely with business stakeholders, domain experts, architects, and software engineers to integrate AI into real processes
• Produce high quality documentation: solution designs, architecture diagrams, guidelines, troubleshooting steps, and user facing material
• Translate complex AI concepts into clear, actionable content for technical and non technical audiences

• Training & Support
• Create best practices, enablement materials, and usage guidelines for Generative AI
• Serve as a trusted advisor for internal teams adopting AI Technologies
• Support troubleshooting and ensure consistent, responsible AI adoption across the organization

Who we are looking for

• Bachelor’s degree in Information Technology, Data Management, Business Intelligence, or a related field
• Strong understanding of Machine Learning fundamentals and modern AI concepts
• Hands on experience building AI agents using LLMs (tool interaction, planning, context management, reasoning). Experience with Microsoft Copilot Studio or Microsoft 365 integrations beneficial
• Deep understanding of how LLMs work (prompting, context windows, parameters, evaluation, responsible use, performance measurement) Practical experience with inference and deployment Workflows
• Proficiency in Python and ability to write clean, maintainable, well structured code
• Knowledge of cloud platforms, preferably Azure (compute, security, networking, identity, and AI related services)
• Strong communication skills and ability to work with stakeholders
• Ability to produce excellent documentation
• Innovation driven and proactive in exploring new ideas and approaches
• Familiarity with enterprise document ecosystems or retrieval pipelines and exposure to MLOps, cloud native practices, or monitoring tools are nice to have

Please contact Daria Berezova for further information via DARIA.BEREZOVA@AMS-OSRAM.COM or +49 (941) 8501571.