AI Development Specialist - Central & West Regions

at World Wide Technology in Kansas City, Missouri, United States What will you be doing? The AI Development Specialist is a dedicated developer-facing engagement resource focused on two related sales motions: (1) selling coding assistant & AI Native Engineering (AINE) solutions and related services to enterprise development organizations, (2) co-selling with NVIDIA teams on accelerating enterprise applications through NVIDIA-optimized libraries, SDKs, and development tools. Responsibilities Coding Assistant & AINE Solutions with Services Position and sell coding assistant & AINE solutions: vendor evaluation (GitHub Copilot, Amazon Q Developer, Google Gemini Code Assist, Cursor, Claude Code, Windsurfand Devin), pilot design, adoption strategy, developer workflow integration, security/governance for AI-generated code, and productivity measurement. Work in close coordination with Global Solutions & Architecture and Service Consulting & Engineering. Develop repeatable service packages: coding assistant pilot programs, developer productivity benchmarking, adoption and change management, and ROI measurement. Engage enterprise development teams on the full spectrum of AI-assisted development: code generation, code review, testing automation, documentation, and intelligent IDE integration. Co-sell with NVIDIA teams on accelerating enterprise applications through NVIDIA-optimized libraries (CUDA, cuDNN, TensorRT, RAPIDS, Triton Inference Server), SDKs, and development frameworks. Translate NVIDIA’s developer platform value proposition into customer-specific application acceleration opportunities—identifying workloads where library optimization drives measurable performance improvement. Collaborate with NVIDIA-embedded SE resources on joint customer engagements, technical demonstrations, and proof-of-concept designs that showcase application acceleration. Stay current on NVIDIA’s developer tools roadmap: CUDA toolkit, AI Workbench, NeMo, Omniverse SDK, and emerging frameworks. Enterprise Developer Engagement Engage directly with enterprise customers’ development and engineering leadership—CTOs, VP Engineering, platform engineering leads, developer experience teams—to position WWT as a developer productivity and AI-accelerated application development partner. Develop application acceleration assessments that identify workloads suitable for NVIDIA library optimization and quantify the performance and cost impact of acceleration. Contribute developer‑ecosystem intelligence to the broader AI team: emerging tools, competitive dynamics, developer community trends, and customer adoption patterns. POD & Cross-Functional Collaboration Operate as an integrated member of the three-person regional POD (AI Solutions Executive, AI Solutions Architect, AI Services Consultant), participating in weekly POD cadence, joint pipeline reviews, and account planning. Operate as a trusted AI subject matter resource to field sales teams, embedding into account planning and strategy sessions to surface workforce AI and coding assistant (AINE). Work alongside POD AI Solutions Architects where application-layer acceleration connects to infrastructure decisions—e.g., where library optimization drives GPU compute sizing, inference architecture, or AI Factory configuration. Collaborate with AI Services Consultants on engagements where coding assistant and workforce AI services are part of a broader consulting proposal. Develop strategy and drive customer engagement with AI Solutions Executive to identify, qualify, and close business linked to development pursuits. Participate in division-level pipeline reviews, contributing developer-facing opportunity intelligence to the AI Solutions Director’s operating cadence. Integrate with the operating rhythm and culture of the Regional sales teams to work in collaboration to set strategy and co-sell AI solutions across the territory. Required Qualifications Minimum 8 years in software engineering, developer tools sales, application platform sales, or developer relations/advocacy with a transition to commercial or client-facing roles. Deep understanding of modern enterprise development practices: CI/CD, DevOps, platform engineering, cloud-native development, and AI-assisted coding workflows. Working knowledge of NVIDIA’s developer tools and libraries: CUDA toolkit, cuDNN, TensorRT, RAPIDS, Triton, NeMo, AI Workbench. Comfortable co-selling alongside NVIDIA teams. Comprehensive knowledge of the enterprise coding assistant market: GitHub Copilot, Amazon Q Developer, Gemini Code Assist, Cursor, Claude Code, Windsurfand Devin, and emerging tools. Understands licensing models, enterprise deployment patterns, security/IP considerations, and productivity measurement. Able to translate developer productivity tools into business-outcome conversations: velocity improvements, defect reduction, developer retention, time-to-market acceleration. Comfortable scoping and proposing consulting engagements: application acceleration assessments, coding assistant pilots, developer productivity benchmarking. Bachelor’s degree in computer science, software engineering, or related field required. Preferred Qualifications Prior experience at NVIDIA, a developer tools company (GitHub, JetBrains, Atlassian), or a cloud platform provider (AWS, Azure, GCP) in a developer relations, developer advocacy, or similar role. #J-18808-Ljbffr Flagship Kansas