Jobs at World Wide Technology

Lead and grow strategic staffing services within assigned accounts by driving sales, designing workforce solutions, creating SOWs and proposals, negotiating complex engagements, building executive and hiring‑manager relationships, and coordinating transitions from sales to delivery to achieve recurring services revenue.

The AI Development Specialist enables enterprise development teams by selling coding assistant and AI-native engineering solutions while collaborating with NVIDIA teams to enhance application performance.

The AI Solutions Director manages AI POD teams, leading complex customer pursuits, ensuring pipeline growth, revenue attainment, and mentoring team members in consultative selling.

The AI Solutions Architect specializes in pre-sales technical solutions for AI platforms, collaborating on architectural designs, conducting customer engagements, and ensuring seamless transitions to delivery teams.

The role involves driving strategic staffing business, developing client relationships, negotiating contracts, and leading service delivery throughout project lifecycles.

The AI Services Consultant develops and positions AI consulting services, collaborates across teams, and manages client engagements to unlock AI potential and drive value through structured proposals and delivery.

The AI Services Consultant scopes and positions AI consulting engagements, collaborates with sales and delivery teams, and develops service proposals to drive AI initiatives and infrastructure investments.

The AI Solutions Architect engages in technical pre-sales, designing AI architectures, conducting technical discovery sessions, and collaborating on proof-of-concept projects while ensuring smooth transitions to delivery teams.

The AI Solutions Executive drives AI sales by generating opportunity pipelines, implementing effective sales strategies, and collaborating with field teams to close various AI solutions.

The AI Solutions Executive generates and closes AI pipeline, collaborates with field sales, builds customer relationships, and delivers tailored presentations and proposals.

Responsible for managing customer lab projects in the ATC, ensuring effective communication, resource allocation, and financial management of projects.

The Sr. Full Stack Developer will design and build full-stack applications, focusing on AI-powered solutions, and lead code reviews while mentoring junior engineers in the Advanced Technology Center.

Lead strategic digital and AI programs for key accounts: build C‑level relationships, define program strategy, oversee cross‑functional delivery (software, AI/ML, data), manage financials/P&L, and drive account growth and profitable outcomes.

Design and maintain domain-specific digital architectures, translate business requirements into technical solutions, recommend technologies, ensure integrations and performance, provide technical guidance during implementation, and collaborate with stakeholders to align solutions with enterprise standards.

Manage review, redline and negotiate commercial IT contracts (MPAs, PSAs, SOWs, NDAs). Use AI review tools and CLM systems to identify risk, prepare back-to-back terms and flow-downs, advise proposal and sales teams, draft templates, and collaborate with in-house counsel and business stakeholders to ensure compliant contract execution.

The role involves designing Kubernetes strategies, guiding customer adoption of VKS, and technical leadership within the VCF architecture, including customer engagement and documentation of design decisions.

The National Marketing Manager is responsible for developing and executing marketing strategies, managing events and project budgets, and collaborating with sales and cross-functional teams to enhance demand generation.

The Senior Engineer will manage data center projects, build client relationships, and deliver complex solutions while working collaboratively with teams and adhering to timelines.

The Senior HPA Architect will lead architecture for AI Factory environments, focusing on complex GPU infrastructure solutions and business outcomes, while mentoring team architects and engaging C-suite stakeholders.

Design and develop software integrating AI capabilities, mentor team members, ensure product quality, and promote AI literacy within the engineering team.