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Serve as a partner-facing pre-sales networking architect for HPE Aruba and Juniper solutions. Design and position end-to-end networking solutions, including wireless, switching, routing, SD-WAN, security, data center, and cloud-managed platforms. Enable channel partners through training, workshops, coaching, presentations, and solution demonstrations. Support opportunity qualification, solution design, BOMs, RFPs, licensing, demos, technical escalations, and competitive positioning while driving technical win rates and deal closures.

Design and implement large-scale, distributed AI-driven SD-WAN systems and real-time, fault-tolerant services. Drive features end-to-end from design through testing and deployment, improve scalability and operability, participate in code and design reviews, and collaborate with product and documentation teams.

Design and scale AI-powered sales enablement experiences: architecture for generative AI, RAG, AI agents, content discovery, guided selling, coaching automation, governance, pilots, integrations with enablement/CRM/LMS systems, and measure adoption and business impact.

Leads end-to-end troubleshooting of customer-reported hardware and software issues across Juniper switching platforms. Replicates environments, isolates defects, coordinates permanent fixes, advocates for customers, and documents resolutions. Provides technical guidance during testing, deployment, and operations; participates in customer reviews, training, product development, and knowledge-base creation. Mentors support engineers and peers while providing weekend and pager-rotation coverage.

Leads end-to-end troubleshooting of customer-reported hardware and software issues across Juniper switching platforms. Reproduces environments, isolates root causes, coordinates permanent fixes, advocates for customers, and supports testing, deployment, and operations. Provides technical guidance, customer reviews, network training, documentation, and knowledge-base contributions. Mentors support engineers and collaborates with engineering and client management teams. The onsite role includes weekend coverage and pager rotation.

Owns the architecture, strategy, reliability, capacity, and roadmap for distributed SSR test environments. Designs physical and virtual lab infrastructure, networks, storage, virtualization, and supporting services; leads troubleshooting across hardware, Linux, networking, and automation. Drives infrastructure provisioning, monitoring, inventory, recovery, and reporting automation. Coordinates equipment lifecycle activities, maintains documentation and operational standards, partners with global engineering teams, and provides technical leadership and mentoring for lab infrastructure and test operations.

Leads technical marketing for HPE networking solutions by validating architectures, supporting product and release readiness, engaging strategic customers, influencing product strategy, creating technical collateral, enabling sales teams and partners, developing competitive positioning, representing HPE at industry events, and mentoring engineers. The role focuses on AI-driven operations, self-driving networking, security, customer adoption, and enterprise networking technologies.

Designs, builds, and operates infrastructure integrating existing LLMs into reliable internal and customer-facing tools. Responsibilities include AI platform and pipeline development, third-party tooling integration, retrieval systems, orchestration, monitoring, observability, cost controls, guardrails, and failure handling. The role collaborates with training and documentation stakeholders, establishes AI adoption standards, and promotes practical AI use across the organization.

Designs, deploys, and maintains AI, machine learning, and generative AI solutions supporting sales forecasting, pipeline analytics, lead scoring, customer segmentation, and seller productivity. Builds predictive models, AI copilots, assistants, and RAG solutions; analyzes CRM and operational data; develops dashboards and executive reporting; and establishes MLOps monitoring. Partners with sales, revenue operations, and IT leaders to identify use cases, deliver scalable solutions, and drive data-informed commercial decisions.

Designs and develops software for cloud systems, leads project teams, reviews compliance and quality, drives innovation in technology integration and supports team mentorship.