Director of Artificial Intelligence
Director of Artificial Intelligence
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$ 161625 - 247825
1 Vacancy
Job Description
To achieve this we are seeking an innovative and strategic Director of Artificial Intelligence to lead our AI team in driving the transformation of cutting-edge research into scalable production-ready solutions. This critical role requires a dynamic leader with a proven track record of building high-performing AI teams delivering impactful AI solutions and shaping the future of AI-driven automation within a global enterprise.
We offer:
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
The base pay range for this role is estimated to be $161625 - $247825 at the time of posting. Final compensation will be determined by various factors such as work location education experience knowledge and skills.
Tasks and Qualifications:
What You Will do in This Role:
Develop and execute a forward-thinking AI strategy that aligns with Dematics business objectives and drives competitive advantage.
Build and lead a high-performing AI/ML team and oversee the development and deployment of AI/ML solutions ensuring scalability performance and reliability.
Act as a thought leader influencing stakeholders and driving AI adoption across the enterprise by integrating AI-driven capabilities into scalable customer-centric solutions.
Identify emerging AI trends and technologies to ensure Dematic remains at the forefront of AI innovation in logistics automation.
Collaborate cross-functionally with executive leadership and operations to ensure seamless AI integration across business functions. Champion MLOps and DevOps best practices to streamline deployment monitoring and lifecycle management of AI models.
Provide architectural oversight and technical mentorship ensuring robust cloud-based solutions using platforms like GCP Kubernetes and Airflow.
Balance research innovation with practical implementation translating cutting-edge AI advancements into high-impact business applications.
Implement scalable experimentation frameworks to drive continuous improvement and efficiency.
Leverage deep industry knowledge to address intralogistics and warehouse automation challenges with AI-driven insights.
Partner with engineering product management and data teams to enhance AI capabilities and ensure alignment with business goals.
What We are Looking for:
Bachelors or advanced degree (Masters preferred) in Computer Science Artificial Intelligence Machine Learning or a related technical discipline.
7 years of experience in AI/ML software engineering or related fields with at least 3 years leading AI teams in enterprise environments.
Proven track record of delivering scalable AI solutions in cloud environments particularly on GCP utilizing tools such as Docker Kubernetes and Vertex AI.
Extensive expertise in Python data engineering frameworks and modern AI/ML development practices with hands-on experience in data platform engineering and pipeline optimization.
Strong leadership in driving AI initiatives that deliver measurable business value balancing research innovation with practical implementation.
Experience with NVIDIA Omniverse for simulation and digital twin solutions and AI-based robotics development.
Solid knowledge of deep learning reinforcement learning and computer vision technologies with an understanding of AI safety principles and responsible AI practices.
Strong strategic thinking with the ability to align AI initiatives with business objectives.
Expertise in MLOps DevOps and scalable cloud architectures to support production-grade AI systems.
Exceptional stakeholder management and communication skills with the ability to influence and drive consensus across technical and non-technical audiences.
Proficiency in working with cross-functional teams to align AI capabilities with broader business goals.
Ability to travel up to 30%.
Required Experience:
Director
Employment Type
Full Time
