Top Artificial Intelligence Jobs

Quota-carrying sales role focused on generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and ecosystem partners to build pipeline, deliver executive-quality pitches and proposals, drive multi-phase AI engagements (products, infrastructure, and services), and maintain CRM, forecasting, and GTM operational discipline.

Quota-carrying sales role generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners to build pipeline, craft executive pitch decks, sell product/infrastructure and consulting services, and maintain CRM, forecasting, and GTM operational discipline.

Drive consulting pre-sales for regional AI PODs by scoping, packaging, and positioning AI services (data readiness, governance, AI Factory, workforce AI, coding assistant pilots). Collaborate with sales, architects, and delivery to develop proposals, ensure clean handoffs, justify infrastructure, design lab/PoC engagements, and build repeatable service frameworks to accelerate customer adoption and downstream consumption.

Sell coding-assistant and AI-native engineering solutions and co-sell NVIDIA developer-platform optimizations. Engage enterprise development leadership, design pilots and benchmarking services, scope consulting engagements, and collaborate within regional PODs to drive AI-accelerated application performance and developer productivity.

Technical pre-sales AI architect responsible for designing end-to-end enterprise AI architectures, whiteboarding GPU cluster and MLOps solutions, coordinating ATC proof-of-concepts, aligning with NVIDIA and hyperscaler partners, producing BOMs/sizing/POC plans, and enabling clean handoffs to delivery teams while supporting revenue-generation and co-selling activities.

Serve as the regional technical pre-sales architect for enterprise AI solutions: design end-to-end AI architectures, lead discovery and POC engagements with the ATC, validate NVIDIA and hyperscaler integrations, produce reference architectures/BoMs/sizing, and ensure clean handoffs to delivery. Operate in a revenue-focused co-selling model alongside sales and partner teams to win and scope AI deals at enterprise scale.

Sell coding-assistant and AI-native engineering solutions and co-sell NVIDIA-accelerated application services. Engage enterprise development leadership to design pilots, benchmark developer productivity, scope consulting engagements, and translate developer tools into business outcomes while collaborating within regional PODs and with NVIDIA technical teams.

Drive pipeline generation and sales enablement for WWT AI solutions across the AI Factory stack. Align with OEM partners and field teams, collaborate cross-functionally to design and sell architecture-led AI solutions, build relationships with decision-makers, forecast pipeline in Salesforce, and develop market intelligence and campaigns to grow AI revenue and partner impact.

Lead enterprise AI product strategy and execution: define roadmap, identify and prioritize AI use cases, build copilots and automation, run POCs, drive adoption, measure ROI, and coordinate cross-functional teams to scale AI solutions while enforcing governance and performance standards.

Sell, scope, and package enterprise AI consulting services across workforce AI, AI Foundations, and AI Factory use cases. Develop proposals, run discovery workshops and assessments, justify infrastructure investments, design lab/PoC engagements, and ensure clean handoffs to delivery while collaborating with sales, architecture, and delivery teams to grow services pipeline and consumption.

Quota-carrying sales role focused on generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners to build pipeline, craft executive pitch decks, position AI infrastructure and services, and drive multi-phase consulting and deployment engagements with disciplined CRM and forecasting.

Sell, scope, and package AI consulting engagements across enterprise AI GTM categories. Define assessments, workshops, pilots, and multi-phase programs; develop proposals, justify AI infrastructure, drive adoption of workforce AI and coding assistant services; collaborate with sales, architects, and delivery to ensure clean handoffs and measurable outcomes.

Serve as the pre-sales consulting partner in a regional AI pod: scope and sell AI consulting engagements, design assessments/workshops/pilots, develop service proposals, justify AI infrastructure investments, drive workforce AI and coding-assistant services, ensure clean handoffs to delivery, and build repeatable service frameworks to accelerate customers from exploration to production.

Quota-carrying sales role generating, qualifying, and closing enterprise AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners, craft executive pitch decks, drive product/infrastructure and consulting services sales, manage CRM and forecasting, and deliver multi-phase AI engagements.

Serve as the technical pre-sales architect for regional AI deals: design end-to-end AI/ML architectures, lead discovery and POC work with the Advanced Technology Center, create reference architectures/BoMs/sizing, align with NVIDIA and hyperscaler partners, and ensure clean handoff to delivery teams while co-selling with field teams to win revenue.

Lead enterprise AI strategy and consulting engagements: advise C-suite, originate and close large deals, shape AI offerings, drive cross-functional delivery, mentor senior talent, and operationalize responsible AI at scale.

Architect and deliver high-performance storage and data platform solutions for AI/ML workloads. Lead design and sizing of parallel file systems, object storage, GPU-Direct and NVMe-oF fabrics, data lakehouse architectures, and data pipelines. Engage customers and partners, produce HLDs/LLDs/BOMs, enable field teams, and drive partner alignment and business development.

Technical pre-sales AI architect responsible for designing end-to-end AI/ML architectures, leading discovery and POC lab engagements, co-selling with sales and partners, producing reference architectures, BOMs, sizing models, and ensuring clean handoff to delivery teams. Operates in a revenue-generating, customer-facing pre-sales role and collaborates with NVIDIA, hyperscalers, and infrastructure partners.

Customer-facing solutions architect role designing AI data infrastructure and storage platforms. Advise on AI data readiness, NVIDIA AI Data Platform integration, data pipeline and lakehouse architectures, deliver workshops, reference architectures, pre-sales proposals, and partner-aligned solutions for enterprise AI workloads. Travel required for customer and partner engagements.

Lead Cloud Solution Architect defines and matures WWT's AI & Data delivery frameworks, supports pre-sales as a technical SME, and provides architectural oversight on strategic AWS-based AI and data engagements to ensure repeatable, high-quality delivery and measurable client outcomes.

Design, build, test, and deploy AI agents, agentic workflows, and automation solutions. Partner with stakeholders to prototype and productionize full-stack AI applications across cloud, VPS, and local GPU environments while ensuring scalability, security, and performance.

Lead and execute company-wide AI and analytics strategy while spending ~50% hands-on building data pipelines, SQL queries, ML models, and production ML pipelines. Architect scalable data platforms, enable self-service analytics, measure business and operational metrics, mentor data teams, improve data quality and governance, and integrate predictive and generative AI into operations and customer workflows.

Evaluate and annotate AI-generated responses, write prompts and expected outputs, provide structured feedback, maintain high-quality training datasets, and collaborate with engineers to improve LLM performance and evaluation workflows.

Design, build, and scale enterprise AI solutions including LLM, RAG, and AI Agent systems. Develop cloud-native architectures (Azure/AWS), integrations, MLOps/CI/CD, model monitoring, and governance. Collaborate with stakeholders to translate business needs and drive AI adoption with measurable outcomes.

The Internal Systems Engineer builds AI-powered tools and maintains a shared agent platform while integrating AI into customer operations at impact.com.