Jobs at World Wide Technology

Design, architect, and build batch, real-time, and event-driven data platforms and streaming applications. Integrate monitoring and IT operations tools, create data schemas and models, mentor peers, engage in pre-sales, and provide technical leadership and documentation for enterprise data solutions.

Leads sales of staffing services engagements, including client requirements gathering, scoping, pricing, proposals, negotiations, statements of work, opportunity closure, and transition into service delivery. Develops strategic resourcing business, manages client relationships, coordinates internal and external partners, addresses scope changes, supports project closeout, and identifies additional opportunities. Travel is anticipated up to 25%.

Leads services sales for enterprise accounts, developing opportunities, managing client relationships, scoping engagements, preparing pricing and proposals, negotiating with partners, and closing services deals. Oversees transitions from sales to delivery, monitors regional revenue and profitability, forecasts resources, manages statements of work, supports project kickoffs and closeouts, and identifies expansion opportunities across technology services including cloud, cybersecurity, infrastructure, AI, networking, and deployment.

Leads services sales for assigned federal accounts, building client and partner relationships, identifying opportunities, developing pipelines, exceeding revenue targets, and closing complex deals. Responsibilities include requirements gathering, scoping, pricing, proposals, statements of work, contract negotiations, supplier coordination, staffing, and transitioning awarded engagements to delivery teams. The role also supports project kickoffs and closeouts, resolves scope changes, gathers lessons learned, and develops services strategies for federal agencies.

Generate net-new pipeline and develop opportunities among Neocloud, GPU Cloud, and AI Factory data center builders. Prospect target accounts, qualify leads, conduct discovery, build relationships with technical and procurement leaders, engage NVIDIA and ecosystem partners, represent WWT at industry events, and hand qualified opportunities to sales and solution teams. Track pipeline, forecasts, and account intelligence in Salesforce while positioning WWT’s AI infrastructure hardware, integration, and services capabilities.

The AI Services Consultant develops and positions AI consulting engagements, collaborates with regional teams, and scoping services, ensuring successful transitions from sales to delivery.

The AI Solutions Architect drives pre-sales efforts by designing AI architectures, leading technical discovery sessions, and coordinating proof-of-concept engagements to meet customer requirements.

The AI Solutions Executive generates, qualifies, and closes AI pipeline sales, collaborating with field teams to deliver tailored solutions and proposals.

Delivers live, virtual, onboarding, role-based, and technical training programs for Sales Operations. Manages Amplify LMS workflows, including scheduling, assignments, user administration, content tracking, reporting, testing, and troubleshooting. Develops instructor-led curricula, reference materials, evaluations, and training logistics while collaborating with subject matter experts, instructional designers, business leaders, and cross-functional teams. Supports learner development, continuous improvement, training roadmaps, and effective learning outcomes.

Senior Quality Assurance Engineer responsible for leading quality strategy across eCommerce applications. The role combines manual, automated, integration, load, performance, UI, exploratory, cross-browser, and boundary testing. Responsibilities include designing automated tests, analyzing defects, defining quality metrics, supporting production-readiness decisions, collaborating with developers and stakeholders, establishing acceptance criteria, improving testing processes, and mentoring QA engineers on automation and quality engineering practices.

Define and guide application, platform, integration, data, and enterprise architecture across lead-to-quote and delivery platforms. Lead architecture reviews, establish technical standards, design APIs and integrations, manage dependencies and technical debt, and ensure scalability, security, resilience, observability, and supportability. Translate business requirements into solution designs, guide implementation and testing, support incident response, document architecture, mentor technical teams, and influence stakeholders across engineering, product, data, security, infrastructure, and business functions.

Serves as a senior advisor and design authority for greenfield and retrofit data center facilities supporting high-density AI/HPC workloads. Advises executives on power, liquid and air cooling, floor planning, fire suppression, construction readiness, commissioning, and facility architecture. Reviews MEP designs, oversees trade partners, manages risks and quality, and translates computing requirements into facility solutions. Builds WWT’s FIT advisory practice by developing methodologies, supporting proposals, recruiting facilities architects, and leading global client engagements.

Defines and leads architecture standards for production machine learning, generative AI, LLM, and agentic systems. Establishes lifecycle management, observability, evaluation, safety, security, operational readiness, support ownership, and governance practices. Partners with engineering, product, data, security, infrastructure, and IT support teams to deliver reliable AI capabilities. Provides hands-on technical leadership, architecture reviews, documentation, mentoring, prototyping, incident support, and guidance on RAG, vector search, model gateways, prompt orchestration, and agent workflows.

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.

Owns workforce enablement for Strategic Resourcing, including onboarding, operational training, process documentation, knowledge management, and live facilitation. Coordinates SR360 associate rotations, mentorship, learning objectives, progress reporting, and continuous improvement. Partners with subject-matter experts and operational leaders to translate business processes and system changes into practical training resources. Analyzes participation, feedback, employee questions, and knowledge gaps to improve readiness, adoption, and operational consistency.

Supports quoting and order management for assigned accounts, including quote responses, order processing, product information, tracking, technical configuration validation, promotions, partner registration, and reporting. Builds account and OEM product knowledge, identifies upsell opportunities, and maintains stakeholder relationships. The role also assists with onboarding sales operations employees and requires PST-hour availability and travel of less than 25%.

Develop full-stack software and database applications across legacy and modernized systems. Integrate AI capabilities using LLMs, agents, and automation; contribute to web platform quality, resiliency, and upgrades. Participate in Agile planning, development, testing, releases, demonstrations, and retrospectives. Provide post-production support, including quarterly on-call rotation, while collaborating with product teams to deliver reliable solutions supporting sales operations.

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 consulting engagements that design, build, evaluate, and deploy enterprise agentic AI and infrastructure automation solutions. Responsibilities include multi-agent orchestration, LLM and model-platform integration, RAG, tool and API connectivity, guardrails, observability, testing, and production rollout. The role advises client executives, translates business needs into AI strategies, mentors engineers, develops reusable architectures and evaluation assets, and drives responsible, measurable AI outcomes.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.