Description
We are seeking a visionary AI Solutions Architect / Lead to spearhead the design and delivery of cutting-edge AI analytics, Digital Twin, and Situational Awareness systems. This role is pivotal in architecting solutions for large-scale, mission-critical environments like Smart Cities, transportation hubs, and public safety command centers. The ideal candidate will take full ownership of the end-to-end solution lifecycle, from conceptualization and integration to deployment and operational readiness. You will be responsible for creating operational digital twins by integrating diverse data sources such as IoT sensors, video feeds, and GIS platforms. This position requires a leader who can collaborate effectively with government entities and enterprise stakeholders, ensuring our solutions are scalable, secure, and performant. If you have a proven track record of delivering operational AI systems beyond the proof-of-concept stage and thrive in 24x7 mission-critical environments, we encourage you to apply.
Requirements
1. Bachelor’s degree in Engineering, Computer Science, or a related field.
2. 8–12+ years of experience in AI, Smart City, or Digital Platform architecture.
3. Proven experience delivering large-scale, operational AI, Digital Twin, or Situational Awareness systems beyond POCs.
4. Strong solution architecture experience in mission-critical environments (e.g., Smart Cities, Public Safety, Transportation).
5. Expertise in designing Operational Digital Twins integrating IoT, video, GIS, and enterprise systems.
6. Hands-on or architectural experience with Digital Twin platforms like Azure Digital Twins, Siemens MindSphere, or Bentley iTwin.
7. Experience with cloud platforms (Azure, AWS, or GCP) and designing microservices-based architectures.
8. Demonstrated leadership of the full solution lifecycle, including requirements gathering, architecture, implementation, and FAT/SAT/UAT.
Desirable
1. Direct project experience in Smart City, Smart Stadium, Transport, or Public Safety domains.
2. Experience supporting or integrating with Command & Control Centers (CCC / IOC).
3. Previous engagement with government or semi-government programs.
4. Professional certifications such as PMP, TOGAF, or advanced cloud certifications.
5. Experience with Edge computing and real-time data processing architectures.