Chief Architect-IOT & Digital Services

Capgemini Engineering

Key Responsibilities

• Define and drive the architectural vision and strategy for an IoT Platform and digital services or product deployed on top
• Lead the development of innovative solutions integrating sensors, cloud technologies, and key partners providing part of the solution.
• Design and develop comprehensive solutions for an IoT Platform, from sensors, edge gateways, to cloud storage, AI, and end-user applications
• Define functional, logical, technical requirements for advanced IOT product, smart asset, smart city, Fleet management, monitoring and surveillance
• Select, assess, and integrate with various enterprise systems.
• Lead the development of platform and product, ensuring quality standard for a product on the market.
• Oversee platform and Application development for IoT Platform and all services.
• Implement edge & cloud frameworks for new product development, leveraging AI, GenAI and Agentic solutions
• Utilize expertise in IoT technologies, communication protocols, and data integration.
• Develop IoT-based solutions using cloud services.
• Manage software and Hardware requirement to provide comprehensive solution.
• Support relationships with key software vendors.
• Collaborate with clients to deliver tailored solutions.
• Ensure compliance with industry standards and safety regulations.
• Stay updated with relevant training and certifications.
• Manage day-to-day operations of products within the IoT platform and digital services domain.
• Provide support during regular hours and on-call duty.

Your Profile

• Degree in a relevant engineering field.
• At least 20 years of experience with leading service integration or software companies
• Relevant certifications and training.
• Extensive experience in IoT platform, cloud and Digital services.
• Proven track record in product design, development, and delivery.
• Experience with IoT platforms and edge development.
• Strong architectural and functional definition skills for IoT solutions.
• People management experience.
• Deep Agile experience.
• Deep knowledge across our engineering practices, namely AI.
• Implementation / Post Sales experience.

Competencies:

• Technical delivery management, agile methodologies, stakeholder management, risk management, cross-functional team leadership, business process improvement, continuous improvement strategies, KPI tracking, and performance metrics.
• Experience with building automation product development.
• Governance for embedded system products development.
• Proficiency in programming, IoT & cloud platforms, embedded systems, industrial automation, and energy management.