Head of Artificial Intelligence

develop; Frankfurt; Vor Ort; EUR 110.000 - 150.000; Vollzeit

Zusammenfassung

develop in Frankfurt seeks a distinguished Lead Agentic AI Engineer to architect and scale production-grade agentic AI features for its digital health platform focused on pediatric care. You will translate advanced AI concepts into safe, reliable functionality, collaborating with researchers, clinicians and product teams, while mentoring engineers to elevate system quality and safety.

The role emphasizes guardrails, regulatory compliance, and robust design across distributed services with

Qualifikationen

• 5+ years of experience shipping production AI or software systems.
• Proven experience with production LLM or agentic systems.
• Strong expertise in Python and AI system design.
• Master’s degree or PhD in a relevant field.
• Fluent in English.

Aufgaben

• Design agentic systems for context-aware assistance, workflow orchestration, and personalized care.
• Guarantee safety, explainability, and human-in-the-loop controls for regulated environments.
• Drive engineering excellence in architecture, evaluation, monitoring, and observability.
• Lead collaboration with researchers, clinicians, and product teams while mentoring engineers.

Kenntnisse

Python

LLM patterns

Workflow orchestration

Multimodal AI

Cloud-native architectures

Distributed systems

API design

Data privacy

Secure pipelines

English proficiency

Ausbildung

Master’s degree in Computer Science/AI

PhD (preferred)

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.