Objectives of the position

We are seeking a visionary and technically skilled Agentic AI System Architect to work alongside BASF´s AI architects in the design and development of intelligent and autonomous agents that integrate advanced machine learning, natural language processing, and multi-modal reasoning. The individual will be responsible for architecting scalable agent frameworks and solutions that interact with users, systems, and data to perform complex tasks with minimal human intervention.

Responsibilities

• You will lead the design and creation of an enterprise-wide agentic framework, unifying existing fragments of agentic technologies into a coherent enterprise-wide framework that will enable scalable deployment, governance, and interoperability of intelligent agents across the organization
• You will design modular, scalable, and secure capabilities for AI agents that can reason, plan, and act autonomously across diverse environments
• You will enable AI agents to process and respond to text, voice, image, and structured data inputs
• You will develop AI agent workflows that integrate APIs, databases, and third-party services to automate tasks and decision-making across our pro-code and low-code enterprise platforms
• You will implement AI agent memory, context retention, and tool-use capabilities for long-term task execution and adaptability
• You will work closely with machine learning engineers, software developers, product managers, and user experience designers to align agent capabilities with business goals
• You will embed safety, fairness, and transparency into agent design and deployment
• You will monitor and optimize agent performance, latency, and reliability in production environments

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, or in a related discipline
• Minimum 5 years of experience in AI/ML systems design, with at least 1 year focused on agent-based architectures
• Experience in designing, implementing and deploying scalable solutions using modern architectures like Microservices, API-first, Cloud-native, Headless (MACH)
• Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes)
• Strong proficiency in Python and experience with frameworks like LangChain, Semantic Kernel, or similar
• Deep understanding of NLP, LLMs and related technologies (RAG, prompt engineering), and multi-agent systems
• Knowledge of human-computer interaction and conversational UX
• Demonstrates strong teamwork and communication skills, both written and verbal, in English

Additional Skills

• Hands-on experience developing customized generative AI solutions for business use cases, including expertise in concepts like finetuning and RAG and popular frameworks
• Contributions to open-source agent frameworks or AI research
• Hands-on experience in software development, preferably for cloud-based applications, in an agile setup, such as Kanban or Scrum
• Understanding of natural sciences and/or the chemical industry