Lead a new product engineering team focused on developing AI agent products for cybersecurity use cases, balancing hands‑on engineering with people management.
Responsibilities
Build and lead a new high‑performance team
Define team structure and operating model
Coach engineers on technical excellence and secure development
Contribute to product architecture and system design
Review and approve technical designs and security‑sensitive implementations
Requirements
Advanced degree in Computer Science or related fields
Nice to have: experience building or leading cybersecurity products
Lead the technical vision, roadmap, and operational excellence of Julius Baer’s global data platform, ensuring scalability, reliability, performance, and security across the bank’s enterprise technology ecosystem.
Responsibilities
Define and maintain the end‑to‑end technical vision, multi‑year roadmap, and lifecycle strategy for the global data platform
Gather requirements and maintain relationships with current and potential consumer base
Ensure platform scalability, reliability, performance, and security, embedding NFRs, observability, automation, and resilience‑by‑design principles
Lead prioritisation and delivery of platform features and capabilities across Agile teams
Own the platform backlog, prioritise delivery, balance innovation, tech debt, and operational stability
Requirements
Bachelor's or master’s degree in computer science, Information Systems, or a related field
As an AI Engineer, you will design, build and maintain agentic AI solutions that power KPN’s move towards autonomous networks—creating intelligent agents that can observe, decide, and act to optimize performance in real time.
Locations (2)
Amsterdam, North Holland, Netherlands
Amersfoort, North Holland, Netherlands
Compensation
A gross monthly salary starting from €5.216,- to a maximum of €7.843,-, depending on your work experience, based on a 40-hour workweek.
Responsibilities
Build, develop, and maintain agentic AI systems that enable autonomous network optimization and decision-making
Make system designs, validate software quality, check run-time behavior and focus on production ownership
Build and maintain scalable AI/ML pipelines with a strong focus on reliability, performance and maintainability
Define and implement monitoring, testing, and governance strategies to ensure robustness and compliance of agentic AI solutions in production
Collaborate with network domain experts, data engineers, and software teams to integrate agentic solutions into real-time network environments
Associate Vice President, Enterprise Academics, National Center for Clinical Trials and Strategy Internal Communication
Lead enterprise-wide internal communication strategies, advising senior executives and driving organizational change and engagement across Advocate Health’s academic, research, clinical, and strategic priorities.
Compensation
Pay Range: $86.75 - $138.80
Responsibilities
Develop and execute innovative communication strategies aligned with Academics, the National Center for Clinical Trials, Strategy, National Service Lines, and broader enterprise objectives.
Serve as a strategic communication advisor to senior executives and enterprise leaders during organizational change, complex issues, crises, and key strategic initiatives.
Lead people, engagement, and change communication strategies that support leadership activation, understanding, adoption, and organizational transformation.
Translate complex academic, research, clinical, and business strategies into clear and compelling messages for diverse internal audiences.
Partner with People Operations and Optimization and People Activation Events to create multimedia content and enterprise activation experiences.
Requirements
Nice to have: experience supporting communication across academic medicine
Nice to have: experience advising executive leadership teams during significant organizational change
Nice to have: demonstrated success developing enterprise-wide listening, engagement, and leadership activation strategies
Defines and delivers AI products and capabilities to improve operational efficiency, decision‑making, customer experience, and employee productivity across ProTrans International’s U.S. and Mexico operations.
Responsibilities
Partner with business leaders and users to identify, prioritize, and validate AI use cases
Identify and deliver AI solutions supporting transportation management, shipment visibility and execution, pricing, carrier performance, customer service, exception management, document processing, and operational automation
Translate business problems into product requirements, user stories, acceptance criteria, model inputs and outputs, fallback logic, process changes, and measurable success criteria
Partner with data engineering, analytics, data science, architecture, and security teams to define requirements for data quality, availability, governance, labeling, pipelines, and feedback loops
Design and oversee discovery, experiments, proofs of concept, pilots, controlled rollouts, launch planning, adoption, and continuous improvement
Requirements
Bachelor’s degree in Product Management, Business, Information Technology, Computer Science, Data Science, Engineering, or a related field, or an equivalent combination of education and experience