Jobs at World Wide Technology

Lead sales across Illinois SLED accounts, build executive relationships, develop strategic account plans, drive complex opportunities from discovery to close, coordinate internal and partner resources, and champion WWT solutions (cloud, cybersecurity, AI, infrastructure) using ATC briefings, demos, and proof-of-concepts.

Drive sales of Microsoft solutions across a designated territory, owning pipeline, revenue, gross profit, and executive sales cycles from discovery through close. Build ROI-driven business cases, adoption plans, proposals, and statements of work while coordinating account executives, architects, delivery teams, licensing experts, partners, and Microsoft co-selling initiatives. Advise senior executives on collaboration, productivity, security, cloud, and AI solutions, and maintain accurate Salesforce pipeline data.

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

Leads business performance management, business intelligence, and workforce enablement for Strategic Resourcing. Owns KPIs, scorecards, dashboards, operating rhythms, insight reviews, onboarding, training, knowledge management, and continuous improvement initiatives. Partners with functional leaders and data teams to identify performance gaps, translate insights into action, improve operational scalability, and measure adoption and outcomes. The role also manages team priorities, coaches employees, and coordinates cross-functional program delivery.

Supports enterprise infrastructure, integration applications, and Java-based systems across Linux and Windows environments. Responsibilities include incident response, troubleshooting, root cause analysis, monitoring, automation with Python, shell scripting, Ansible, and AWX, SQL and database troubleshooting, CI/CD support, application observability, ServiceNow management, documentation, and collaboration with infrastructure, application, database, network, and integration teams.

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.

Supports quoting, order management, customer requests, product and service configurations, partner processes, promotions, and sales reporting for assigned accounts. Maintains account and OEM product knowledge, identifies upsell opportunities, and helps onboard new sales operations employees. Requires strong organization, communication, accuracy, urgency, and collaboration in a customer-facing IT sales environment.

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.

The Services Solution Architect scopes and designs enterprise VDI and end-user computing services opportunities. Responsibilities include technical discovery, solution architecture, work breakdown structures, labor estimates, pricing, customer-ready SOWs, proposal presentations, and delivery handoff. The role advises customers, collaborates with sales, engineering, partners, and delivery teams, develops productized services and reusable estimating tools, and supports platforms including Citrix, Omnissa Horizon, Azure Virtual Desktop, and Windows 365. Up to 25% travel is required.