Presales Solution Engineer - Edge AI

Presales Solution Engineer - Edge AI Description
-Role Summary The Presales Solution Engineer – Edge AI is a customer-facing technical leader responsible for transforming Edge AI opportunities into measurable business outcomes and production-ready solutions.

This role works across the complete customer journey—from discovery and solution architecture through Proof of Concept (POC), validation, deployment, and production scale. The Solution Engineer serves as the technical bridge between customer requirements, HP's Edge AI capabilities, Advanced Compute platforms, partners, and delivery organizations.

Success is measured not simply by successful demonstrations or POCs, but by the ability to move customers from concept to production and deliver measurable business value.

Customer Discovery & Technical Strategy Partner with customers, account teams, Enterprise Architects, and business stakeholders to understand business challenges, technical requirements, workloads, infrastructure, data environments, and desired outcomes.

Translate customer requirements into actionable Edge AI and Advanced Compute architectures and implementation strategies.

Identify opportunities where AI inference, computer vision, intelligent edge workloads, advanced compute, and related technologies can improve customer operations or create new business capabilities.

Connect near-term opportunities with the customer's broader technology and AI strategy.

Solution Architecture & Design Design end-to-end Edge AI solutions incorporating the appropriate combination of:
· Edge computing platforms and advanced compute
· CPUs, GPUs, NPUs, and AI accelerators
· AI inference and model deployment
· Computer vision and intelligent edge workloads
· Data ingestion and processing
· Containers and orchestration
· Edge management and observability
· Networking, security, and device management
· Cloud and hybrid-cloud integration
· ISV and ecosystem technologies

Develop solution architectures that account for performance, scalability, manageability, security, reliability, cost, and operational requirements.

Proof of Concept Leadership Own the technical execution of customer POCs, pilots, and solution validations.

Define clear POC objectives, technical success criteria, business outcomes, architecture, timelines, responsibilities, and exit criteria before execution begins.

Configure, integrate, test, troubleshoot, and optimize Edge AI solutions in customer and lab environments.

Ensure POCs demonstrate more than technical feasibility by connecting technical results to measurable customer outcomes.

POC-to-Production Ownership Serve as the technical owner for moving successful POCs into production deployments.

Develop a clear productionization plan covering architecture, infrastructure, security, integration, operational readiness, support, monitoring, deployment, and scaling requirements.

Identify technical and organizational barriers that could prevent a successful POC from reaching production and proactively develop mitigation plans.

Partner with HP Services, engineering, partners, ISVs, Enterprise Architecture, and customer teams to create a smooth transition from presales validation into implementation.

Maintain technical continuity throughout the lifecycle:
Discover Architect Validate POC Production Scale Edge AI Technical Leadership Serve as a subject matter expert within HP's Edge AI and Advanced Compute Practice.

Maintain deep knowledge of emerging Edge AI technologies, architectures, AI models, inference frameworks, accelerators, compute platforms, and industry use cases.

Build reusable architectures, technical patterns, reference designs, demos, POC frameworks, and deployment methodologies that accelerate future customer engagements.

Capture lessons…