Director of Agentic AI

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Located in Princeton, New Jersey, Siemens Healthineers DTI is the central hub for R&D in Artificial Intelligence (AI) and Digital Technologies for Siemens Healthineers. Our research scientists and software engineers specialize in using large collections of data to build artificial intelligence solutions for healthcare, in close collaboration with government agencies, universities, and healthcare providers. Our research has been translated to a multitude of clinical products focused on improving quality of care, specifically in the fields of diagnostic imaging, image-guided therapy, and personalized medicine.

The Director of Agentic AI will be responsible for identifying and developing new AI business opportunities in healthcare, building strategic partnership and alliances, developing AI-focused business and product strategies, and maintaining technology roadmaps, while working together with the operating business companies and the DTI team.

Responsibilities

• AI Strategy and Vision:
  • Define and drive the strategic roadmap for Agentic AI applications in healthcare, ensuring alignment with clinical, operational, and regulatory priorities.
• Lead AI Research & Development:
  • Develop and oversee AI-driven autonomous and semi-autonomous systems that enhance decision-making, workflow automation, and personalized patient care.
  • Collaborate with C-level executives, product leaders, and clinicians to identify high-impact use cases and ensure AI solutions deliver measurable value.
  • Lead the design, development, and deployment of next-generation Agentic AI models that can reason, plan, and act autonomously within healthcare settings.
  • Work closely with data scientists, software engineers, clinicians, and regulatory teams to bridge AI innovation with real-world medical applications.
• Integrate AI into Clinical Workflows:
  • Oversee the integration of large-scale multimodal AI systems, leveraging medical imaging, electronic health records (EHR), real-time monitoring, and other healthcare data sources.
  • Partner with academic institutions, industry leaders, and healthcare providers to advance Agentic AI capabilities and adoption.
  • Guide the transition from AI research to scalable, real-world deployments in hospitals, diagnostics, and digital health platforms.
  • Define key performance metrics (KPIs) and clinical validation benchmarks for AI-driven autonomous systems.
• Represent AI in Healthcare Industry & Policy:
  • Represent the company in AI and healthcare conferences, thought leadership initiatives, and policy discussions.
• Lead Cross-Functional AI Teams:
  • Build and lead a world-class team of AI researchers, engineers, and domain experts focused on Agentic AI innovations.
  • Foster a culture of innovation, continuous learning, and interdisciplinary collaboration.
  • Mentor and develop emerging AI talent, driving excellence in both research and product development.
• AI Safety, Compliance & Ethics:
  • Foster research in AI safety, reliability, and interpretability to ensure models adhere to clinical-grade performance and ethical standards.
  • Ensure compliance with global healthcare AI regulations, including FDA, MDR, HIPAA, and emerging AI safety frameworks.

Required Knowledge/Skills, Education, and Experience

• PhD degree in Computer Science, Artificial Intelligence, Robotics, Machine Learning, Computational Neuroscience, or a related field.
• Expertise in AI and Autonomous Agents:
  • Deep understanding of agentic AI, including multi-agent systems, reinforcement learning, and autonomous decision-making.
  • Strong grasp of AI planning, reasoning, and self-improving systems.
  • Experience with Large Language Models (LLMs), cognitive architectures, and human-AI interaction.
  • Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow).