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Senior AI Engineer - Agentic Systems & LLMs (m/w/x)
Developing GenAI agents and multi-agent systems for pharmaceutical CMC innovation. Hands-on LLM agent and workflow automation experience required. Comprehensive wellbeing package, company car for private use.
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Anforderungen
- Master’s degree in Computer Science, Data Science, Bioinformatics, Life Sciences, or related field
- Several years relevant professional experience in AI, software engineering, digital innovation, or related disciplines
- Hands-on experience designing and implementing LLM-based agents, multi-agent systems, workflow automations, and data integrations
- Proven experience developing, deploying, and maintaining software solutions in enterprise environments
- Modern software engineering, containerization, CI/CD, and AI-assisted development practices
- Proven experience establishing scalable architectural standards, LLMOps practices, and governance structures for GenAI, LLM, and agent-based solutions
- Ability to translate business needs into practical technology solutions
- Structured problem-solving approaches and integrating relevant data sources
- Technical leadership and mentoring colleagues
- Fostering adoption of best practices in AI solution development
- Good understanding of pharmaceutical development and CMC processes
- Good understanding of GxP-regulated environments
- Strong communication, consulting, and collaboration skills
- Pragmatic, hands-on mindset
- Ability to rapidly turn ideas into practical solutions
- Excellent written and spoken English skills
Aufgaben
- Design, develop, deploy, operate, and enhance GenAI agents
- Design, develop, deploy, operate, and enhance multi-agent systems
- Design, develop, deploy, operate, and enhance workflow automations
- Design, develop, deploy, operate, and enhance data integrations
- Develop production-ready solutions using modern software engineering practices
- Develop production-ready solutions using DevOps practices
- Develop production-ready solutions using AI-assisted development practices
- Identify AI-based use cases with business stakeholders
- Prioritize AI-based use cases with business stakeholders
- Develop AI-based use cases with business stakeholders
- Deliver AI-based use cases with business stakeholders
- Ensure adherence to security standards
- Ensure adherence to privacy standards
- Ensure adherence to Responsible AI standards
- Explore and evaluate GenAI technologies
- Explore and evaluate LLM technologies
- Explore and evaluate agentic technologies
- Turn innovative ideas into scalable solutions
- Define governance frameworks for AI innovation
- Define operating models for AI innovation
- Define architectural standards for AI innovation
- Act as a trusted advisor on AI
- Act as an AI ambassador
- Drive AI adoption through community building
- Drive AI adoption through stakeholder engagement
- Drive AI adoption through onboarding initiatives
- Drive AI adoption through targeted upskilling programs
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Comprehensive benefits package
- Wellbeing package
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Boehringer Ingelheim erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Boehringer IngelheimÜber das Unternehmen
The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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