Head of Artificial Intelligence

develop; Frankfurt; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

develop is seeking a Lead Agentic AI Engineer to architect and scale production-grade agentic AI features for their digital health platform focused on pediatric care. You will turn advanced AI concepts into safe, reliable functionality for clinical use and lead the design of agentic systems.

As a senior leader, you will ensure rigorous guardrails, explainability, and human-in-the-loop controls while partnering with researchers, clinicians, and product teams to deliver high-impact solutions.

Qualifikationen

• 5+ years in software or AI engineering with production AI experience.
• Master's degree in CS/AI; PhD a plus.
• Full professional fluency in English.
• Experience shipping production LLM or agentic systems.

Aufgaben

• Design agentic systems for context-aware assistance and care workflows.
• Ensure safety, guardrails, explainability, and human-in-the-loop controls.
• Establish architecture, evaluation, monitoring and observability best practices.
• Collaborate with researchers, clinicians, and product teams; mentor engineers.

Kenntnisse

Production LLMs

Agentic AI

Workflow orchestration

Cloud-native architectures

Distributed systems

API design

Data privacy

Secure pipelines

Ausbildung

Master's degree in Computer Science/AI

PhD is a plus

Jobbeschreibung

My client is looking for a Lead Agentic AI Engineer to architect and scale production-grade agentic AI features for their digital health platform. You will turn advanced AI concepts into safe, reliable, and clinically meaningful functionality for pediatric care.

Key Responsibilities

• Design Agentic Systems: Build robust AI agents and workflows for context-aware assistance, workflow orchestration, and personalized care.
• Guarantee Safety & Compliance: Implement rigorous guardrails, explainability frameworks, and human-in-the-loop controls for regulated environments.
• Drive Engineering Excellence: Establish best practices for system architecture, evaluation, monitoring, and observability.
• Lead Collaboration: Partner with researchers, clinicians, and product teams while mentoring engineers.

Qualifications

• Experience: 5+ years in software or AI engineering, with proven experience shipping production LLM or agentic systems.
• Tech Stack: Strong expertise in Python, LLM patterns, workflow orchestration, multimodal AI, and cloud-native architectures.
• Core Skills: Deep understanding of distributed systems, API design, data privacy, and secure pipeline operations.
• Education: Master's degree in Computer Science, AI, or a related technical field (PhD is a plus).
• Languages: Full professional fluency in English.