Jobs at World Wide Technology

Lead strategic technology sales for Texas State, Local Government, and higher education customers. Build executive relationships, develop account plans, manage complex opportunities, forecast pipeline, and align WWT’s AI infrastructure, cloud, cybersecurity, data center, networking, and digital transformation solutions with customer objectives. Coordinate sales, engineering, consulting, OEM, and partner resources while facilitating workshops, demonstrations, briefings, and proof-of-concepts.

The AI Services Consultant develops and positions AI consulting engagements, collaborates across teams, and ensures service deliverables align with sales strategies.

The AI Solutions Architect drives technical pre-sales engagements, designs AI solutions, coordinates POCs, and collaborates with partners to win deals.

The AI Solutions Executive will focus on generating and closing AI opportunities within enterprise accounts, collaborating with field sales teams, and managing the sales cycle from discovery to closure.

Leads large, complex infrastructure projects and programs in a client-facing professional services environment. Manages multiple workstreams, schedules, resources, risks, scope, quality, stakeholder communications, and project financials including profitability, revenue, margins, and utilization. Builds customer relationships, coordinates cross-functional teams, oversees multisite technology deployments, and ensures timely, profitable delivery aligned with strategic objectives.

Owns intake and triage for marketing technology requests, learns marketing tools and data flows, and designs automation workflows with engineers and data scientists. Builds solutions using internal frameworks and low-code tools, tests variable AI outputs, guides user acceptance testing, documents processes, enables marketing teams, and measures business impact. The role connects marketing needs with agentic workflows, integrations, custom applications, and ML-based analysis.

Serves as a senior data center engineer delivering hands-on infrastructure projects for enterprise customers. Installs and integrates complex hardware and software systems, including VMware, storage, networking, hyper-converged infrastructure, data protection, and cloud solutions. Manages project engagements, advises customers, coordinates with internal teams, works under tight schedules, and builds customer relationships. The position may require travel up to 75% and involves mentoring less experienced personnel.

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.

Architects and delivers high-performance AI networking fabrics using NVIDIA InfiniBand and Spectrum-X Ethernet. Designs lossless, automated, scalable network infrastructure for DGX and AI cloud environments; configures routing, QoS, RoCEv2, SHARP, telemetry, and DPU offload. Owns cabling, link validation, performance testing, infrastructure-as-code, and day-two operations. Provides technical leadership in client workshops, presales scoping, bills of materials, cost estimation, and integration with enterprise networks.

Works with enterprise clients to drive AI adoption by assessing readiness, identifying use cases, building adoption roadmaps, delivering training, and managing communications and champion programs. Develops prompt guides, AI-enabled workflows, dashboards, and adoption metrics. Facilitates workshops and office hours, supports responsible AI and safety practices, maintains risk registers, and creates reusable resources to scale and sustain AI usage.

Performs security assessments, vulnerability identification, threat mitigation, security architecture, and implementation of information assurance systems for a DoD Zero Trust program. The role designs and integrates security controls across network, computing, and enclave environments; supports risk management, certification, compliance, and security planning; and assists with installation, migration, and configuration activities across multiple client locations.

Leads the design, implementation, integration, and operation of enterprise Zero Trust security solutions for a DoD client. Evaluates technologies, aligns architectures with DoD requirements, secures networks and systems, integrates cybersecurity monitoring and response tools, researches security improvements, and briefs client leadership. The role supports installation, migration, and configuration activities across multiple locations and requires extensive collaboration with network and hardware teams.

Supports the financial and operational health of project engagements by forecasting costs, revenue, and timelines; tracking budgets, utilization, burn rates, and project performance; conducting variance analysis and audits; supporting invoicing, compliance, and project changes; and providing data-driven insights. The role collaborates with Sales, Delivery, Finance, and Services Operations teams to identify risks, maintain financial integrity, and support successful project outcomes.

Evaluate and develop compute technologies for an advanced technology lab. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and technical designs. Collaborate with customers, sales, partners, and internal teams; support business development and marketing initiatives; maintain OEM partnerships; and achieve certifications required for partner status.

Provide Tier 3 support for Microsoft Dynamics 365 and Power Platform: troubleshoot complex incidents, perform RCA, manage Microsoft escalations, maintain Dataverse and environment lifecycle, support integrations, document resolutions, and mentor lower tiers while following ITIL-aligned processes.

Designs and architects data solutions involving relational and cloud databases, large-scale data processing, ETL, integrations, APIs, analytics, and reporting. Collaborates with technical and business teams to model scenarios, define requirements, validate deliverables, document data flows, maintain data quality and privacy standards, and communicate architecture recommendations. Provides data expertise, stakeholder engagement, coaching, and mentorship while developing scalable solutions for business processes and decisions.

Develop and operationalize AI-native engineering tools, workflows, standards, and reference architectures across the enterprise. Research emerging technologies, build proofs of concept, integrate approved tools, and create scalable engineering patterns. Develop and deliver AI training, tutorials, documentation, presentations, and demonstrations for technical teams and executives. Support adoption through office hours, change management, stakeholder communication, troubleshooting, and feedback gathering.

Leads enterprise adoption of AI-native engineering tools, workflows, and practices. Researches and prototypes emerging platforms, develops proofs of concept and reference architectures, and partners with engineering teams to operationalize solutions. Owns AI training and enablement through documentation, presentations, tutorials, videos, office hours, and executive briefings. Evaluates tooling, optimizes development processes, supports organizational change, and gathers feedback to improve engineering standards and developer experience.

Leads solution architecture for complex automation opportunities, partnering with sales and clients to define use cases, assess feasibility, develop proposals, and build business cases. Owns opportunity governance, coaches solution architects, aligns pursuit and delivery teams, documents handoffs, and drives continuous improvement across automation programs integrating cloud, security, and digital services.

Lead client-facing FinOps engagements from discovery through realization, including cloud cost assessments, tooling implementation, allocation models, optimization, governance, and technical remediation. Advise executive stakeholders, architect solutions across AWS, Azure, or GCP, and support presales proposals. Develop reusable delivery frameworks, playbooks, SOWs, pricing models, and scalable offerings, including emerging AI infrastructure cost-management practices.