AI Development Specialist West Regions

at World Wide Technology in Kansas City, Missouri, United States

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.

• Coding Assistant & AINE Solutions with Services
  • Position and sell coding assistant & AINE solutions: vendor evaluation (Git Hub Copilot, Amazon Q Developer, Google Gemini Code Assist, Cursor, Claude Code, Windsurf and 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.

• 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, Dev Ops,…