AI Development Specialist - Central & West Regions

The AI Development Specialist plays a developer‑focused engagement role that combines deep technical knowledge of NVIDIA’s developer platform, enterprise coding assistant market, and consultative selling to drive AI‑accelerated application development for enterprise customers. What will you be doing? This role involves selling coding assistant & AINE solutions, co‑selling NVIDIA products, engaging enterprise development teams, and collaborating within a cross‑functional regional POD. Responsibilities Coding Assistant & AINE Solutions with Services Position and sell coding assistant & AINE solutions: vendor evaluation, pilot design, adoption strategy, developer workflow integration, security/governance, and productivity measurement. Work with Global Solutions & Architecture and Service Consulting & Engineering to develop repeatable service packages such as pilot programs, productivity benchmarking, change management, and ROI measurement. Engage enterprise development teams on AI‑assisted development: code generation, code review, testing automation, documentation, and IDE integration. NVIDIA Developer Platform Co‑Sell Co‑sell with NVIDIA teams on accelerating enterprise applications through NVIDIA‑optimized libraries, SDKs, and frameworks. Translate NVIDIA’s value proposition into customer‑specific 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. Stay current on NVIDIA’s developer tools roadmap including CUDA toolkit, AI Workbench, NeMo, Omniverse SDK, and emerging frameworks. Enterprise Developer Engagement Engage enterprise customers’ development and engineering leadership to position WWT as a partner for developer productivity and AI‑accelerated development. Develop application acceleration assessments that quantify performance and cost impact of acceleration. Contribute developer‑ecosystem intelligence to the broader AI team, reporting emerging tools, competitive dynamics, community trends, and 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) and participate in weekly cadence and pipeline reviews. Serve as a trusted AI subject‑matter resource for field sales teams, embedding into account planning and strategy sessions. Collaborate with AI Solutions Architects on linking application acceleration to infrastructure decisions such as GPU compute sizing and inference architecture. Work with AI Services Consultants on engagements involving coding assistant or workforce AI services within broader consulting proposals. Drive customer engagement strategy with AI Solutions Executive to identify, qualify, and close development‑linked business. Contribute developer‑focused opportunity intelligence in division‑level pipeline reviews. Integrate with regional sales teams to 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 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 with NVIDIA teams. Comprehensive knowledge of the enterprise coding assistant market: GitHub Copilot, Amazon Q, Gemini, Cursor, Claude, Windsurf & Devin, and emerging tools, including licensing models, deployment patterns, security/IP considerations, and productivity measurement. Ability to translate developer productivity tools into business‑outcome conversations: velocity, defect reduction, retention, time‑to‑market. Comfortable scoping and proposing consulting engagements: application acceleration assessments, coding assistant pilots, 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 or developer‑focused sales role. Existing relationships with enterprise development leadership (CTOs, VP Engineering) across Fortune 500 accounts. Experience with NVIDIA CUDA certification or equivalent GPU computing credentials. Background in AI/ML application development, not just infrastructure. Salary A reasonable estimate of the current base pay range for this position is $150,000.00 to $180,000.00 annually. Actual salary will be based on a variety of factors including location, experience, skill set, performance, and business needs. Variable incentive compensation may also be applicable. Benefits Health and Wellbeing: Health, Dental, and Vision Care; Onsite Health Centers; Employee Assistance Program; Wellness program. Financial Benefits: Competitive pay; Profit Sharing; 401(k) plan with company matching; Life and Disability Insurance; Tuition Reimbursement. Paid Time Off: PTO & Holidays; Parental Leave; Sick Leave; Military Leave; Bereavement. Additional Perks: Nursing Mothers Benefits; Voluntary Legal; Pet Insurance; Employee Discount Program. If you have any questions or concerns about this posting, please email View email address on click.appcast.io. EEO Statement WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job‑related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. 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