About the Role
The company customers rely on our products and services to drive progress. Service Delivery is all about ensuring our technical solutions help clients fulfill their priorities, challenges, and initiatives. As trusted advisors, we build in-depth knowledge of what each client wants to achieve and ensure the services delivered meet all our promises.
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We invite you to join our Services Solutions Architecture team as a Senior Principal Engineer - AI Networking Solutions Architect, where you will have the opportunity to excel professionally and significantly contribute to the advancement of high-performance AI infrastructure.
Key Responsibilities
As a member of the services delivery team, you will collaborate with the company consultants, engineering teams, and client stakeholders to design, deploy, optimize, and support large-scale AI network infrastructure solutions, ensuring technical excellence and customer satisfaction throughout each phase of the engagement.
Responsibilities
You will:
- Lead the deployment and integration of AI network infrastructure solutions utilizing NVIDIA, AMD, and Intel technologies.
- Coordinate the activities of technical solution team members to meet contract obligations, ensuring that full life cycle delivery costs are within the service level agreement.
- Proactively identify potential issues and drive resolution to avoid customer impact, facilitating continuous improvement.
- Build and sustain effective communications with all partners and cross-functional teams, maximizing the customer experience and relationships.
- Collaborate with clients to assess technical requirements and deliver customized infrastructure solutions.
- Tackle ambiguous, cross-organizational problems where the solutions are not yet clear.
- Influence architecture and strategy across multiple programs, products, or organizations.
- Influence senior technical leaders and business leadership.
- Shape broader standards, strategy, investment direction, and engineering practices.
- Develop comprehensive documentation including architecture diagrams, deployment guides, technical designs, and operational procedures.
- Act as a trusted technical advisor throughout the customer engagement lifecycle.
- Maintain awareness of all service matters and manage customers during any escalations.
Qualifications
Essential Requirements
- Five or more years of working full-time as an IT professional in a Data Centre environment.
- Proven success in designing and deploying large-scale AI network infrastructures.
- Excellent knowledge and experience of networking concepts: IP Switching and Routing, networking experience up to and including L3 BGP eVPN Data Centre technologies, Firewalls and Security products.
- Implementation of advanced networking solutions, including NVIDIA InfiniBand and Ethernet technologies.
- Demonstrated expertise in NVIDIA networking technologies: InfiniBand (Quantum), Ethernet (Spectrum-X), MLNX-OS, NVIDIA Cumulus OS, and Enterprise SONiC.
- Experience with one or more 3rd party networking vendor equipment, such as Cisco Networks, Juniper Networks, Palo Alto Networks, and Extreme Networks.
- Capacity to manage multiple projects independently and deliver results within dynamic environments.
- Strong knowledge and experience with communications, wide and local area networking.
- Excellent written, verbal communication, interpersonal skills and, importantly, soft skills when dealing with customers.
- Ability to source information from users, vendors, and colleagues and deliver it to the required audience.
- Strong documentation and reporting skills to effectively document routine technical problems and summarize the problems for various clients, including business and technical clients.
- Strong ability to prioritize routine administrative tasks and complete assigned duties within set deadlines.
- Ability to perform systems analysis and information gathering.
- Possess a valid driver’s license.
Desirable Requirements
- Bachelor’s degree or equivalent.
- Experience with NVIDIA DGX and DGX SuperPOD platforms or similar GPU platforms.
- Certifications in Networking.
- Experience with GENAI frameworks and related tools.
- Additional language skills.
