Senior Agentic AI Architect for Cloud & Gov Transformation
Publicis Sapient
As Sudiyah
On-site
OMR 38,450 - 49,985
Full time
14 days+
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Benefits offered by this job
Ongoing learning and development opportunities
Comprehensive health benefits
Generous paid leave and holidays
Wellness program and employee assistance
Job summary
Publicis Sapient is seeking a Sr. Manager – Technology in Oman to lead engineering transformation programs across Saudi Arabia's Public Sector. This role involves consulting and delivering large-scale digital transformation initiatives utilizing modern cloud-native architectures and emerging technologies like AI. The ideal candidate has over 12 years of experience, has led distributed engineering teams, and possesses strong software and data expertise. The position offers competitive compensation and promotes work-life balance.
Qualifications
12+ years of experience in building large-scale, high-volume, low-latency, high-availability distributed services.
Hands-on solution architect with 5–7 successfully delivered large to medium-scale projects.
Experience leading global engineering teams with 10+ engineers.
Responsibilities
Lead engineering transformation programs across various industries.
Support government organizations with digital transformation initiatives.
Implement and leverage emerging technologies for citizen-centric services.
Skills
Java and distributed systems
Cloud-native application architecture
Microservices architecture
API management and integration platforms
Event-driven systems
Data and analytics platforms
CI/CD and DevOps environments
Enterprise integration technologies
Agentic AI on hyperscaler platforms
Generative AI and Agentic AI architectures
Modern data platforms
Education
Bachelor’s / master’s degree in computer engineering
Job description
Publicis Sapient is seeking a Sr. Manager – Technology in Oman to lead engineering transformation programs across Saudi Arabia's Public Sector. This role involves consulting and delivering large-scale digital transformation initiatives utilizing modern cloud-native architectures and emerging technologies like AI. The ideal candidate has over 12 years of experience, has led distributed engineering teams, and possesses strong software and data expertise. The position offers competitive compensation and promotes work-life balance.