Design and develop scalable end-to-end features using Java, Python, and Angular while collaborating with cross-functional teams. Lead technical decisions, code reviews, and deployment strategies to ensure high-performance, secure, and reliable system architecture.
Lead and scale a technically capable customer delivery organization for enterprise AI and agentic platforms. Own the end-to-end customer delivery lifecycle from solution scoping through implementation, production deployment, and transition to ongoing adoption.
Lead and scale a professional services organization to manage end-to-end delivery of enterprise AI and agentic platform solutions. Oversee solution scoping, implementation, customer adoption, and the development of repeatable delivery models to drive business value.
The role involves creating and scaling a modern, AI-forward Academy experience by producing high-quality digital learning content, including videos, tutorials, and certifications. You will partner with subject matter experts to translate complex technical concepts into engaging learning journeys while leveraging AI tools to optimize production efficiency.
Design, develop, and maintain scalable backend services using Java and Spring Boot while ensuring high availability and fault tolerance. Collaborate with cross-functional teams to deliver high-quality features and mentor junior engineers to raise engineering standards.
The intern will support compliance initiatives, including ISO framework audits and information security program activities. Responsibilities also include maintaining documentation, coordinating with cross-functional teams, and assisting with security awareness training.
The Senior Account Executive will drive growth by positioning AI-driven supply chain solutions to global enterprises and managing the full sales cycle. They are responsible for identifying new opportunities, building executive relationships, and maintaining accurate pipeline forecasts in Salesforce.
Ensure high availability, scalability, and reliability of the platform by managing Azure cloud-native environments and Kubernetes clusters. The role involves owning production incidents, reducing MTTR, and driving automation through CI/CD pipelines and infrastructure as code.
