Ams Osram
Portugal / Global
Portugal / Global
Central Functions support the board as well as the business in achieving its strategic objectives. These are, for example, Information Technology, Human Resources, Logistics, Compliance, Finance and many more.
Agentic AI Engineer (d/m/f) designs, builds, and deploys AI-powered applications, copilots, and intelligent agents that create measurable business value. The role combines expertise in Generative AI, enterprise integrations, and modern software engineering to deliver scalable, secure, and innovative AI solutions across the enterprise:
Design and implement AI agents and other generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision
Build end-to-end workflows to enable business actions (e.g., approvals, system updates, notifications)
Integrate solutions with Azure OpenAI, enterprise systems (SAP, APIs, M365)
Design and optimize prompting strategies and RAG-based knowledge solutions
Collaborate with business stakeholders, AI architects, and developers
Architect and advise on scalable, future-proof AI solutions tailored to business needs
Create best practices, enablement materials, and usage guidelines for AI
Consult & train other departments on Microsoft Copilot Studio
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or a related discipline
Minimum 3+ years of experience in software development, AI solution development, or related technical roles and experience in delivering Generative AI or LLM-based solutions in enterprise environments
Strong knowledge of Generative AI concepts, LLMs, prompt engineering, RAG, vector databases, semantic search, and AI application architectures
Hands-on experience with Azure AI Services, Azure OpenAI, or comparable AI platforms
Proficiency in Python and/or JavaScript/TypeScript for AI application development and integration
Experience integrating solutions with enterprise systems, APIs, Microsoft 365, and cloud platforms
Experience with Microsoft Copilot Studio, Power Platform, or similar low-code/no-code AI development environments is a plus
Proficiency in English
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