Agentic AI Engineer: Build Scalable Enterprise AI Agents

OSRAM Lda.; Bayan Lepas; On-site; MYR 90,000 - 160,000; Full time

Job summary

OSRAM Lda. is seeking an Agentic AI Engineer (d/m/f) to design, build, and deploy AI-powered applications and intelligent agents across the enterprise.

The role emphasizes Generative AI, NLP, and computer vision to deliver scalable, secure AI solutions and measurable business value. Responsibilities include integrating with Azure OpenAI, SAP, and APIs, as well as leading prompting strategies, RAG knowledge solutions, and collaboration with AI architects and developers.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or a related discipline.

Responsibilities

• Design and implement AI agents and other generative AI solutions using LLMs, NLP, and computer vision.
• Build end-to-end workflows to enable business actions (approvals, updates, notifications).
• Integrate solutions with Azure OpenAI, 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.

Skills

AI Solutions

LLMs

NLP

Computer Vision

Prompts & RAG

Azure OpenAI

SAP & APIs

M365

Collaboration

English proficiency

Education

Bachelor’s or Master’s in CS/IT/Engineering/AI

Tools

Azure OpenAI

Azure AI Services

Microsoft Copilot Studio

Power Platform

Job description

OSRAM Lda. is seeking an Agentic AI Engineer (d/m/f) to design, build, and deploy AI-powered applications and intelligent agents across the enterprise.

The role emphasizes Generative AI, NLP, and computer vision to deliver scalable, secure AI solutions and measurable business value. Responsibilities include integrating with Azure OpenAI, SAP, and APIs, as well as leading prompting strategies, RAG knowledge solutions, and collaboration with AI architects and developers.