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Senior Multi-Cloud DevOps Engineer
Select Source Solutions
Remote, United States
Our client is seeking a remote Senior Multi-Cloud DevOps Engineer to join an Agile engineering team supporting enterprise cloud modernization and emerging technology initiatives in an…
Added 1 min ago
DevOps Engineer -Remote (DC, MD, VA- Locals only)
Swingtech
Remote, United States
Swingtech Consulting, Inc. is seeking a skilled DevOps Engineer to support the operation, maintenance, enhancement, and secure delivery of web-based training and learning management systems…
Added 5 mins ago
Senior Software Engineer, Machine Learning, Discover Interest Modeling and Retrieval
Google
Mountain View, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 5 mins ago
Software Engineer III, Front End
Google
Mountain View, CA · Los Angeles, CA · Sunnyvale, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 5 mins ago
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Software Engineer III, Front End
Google
New York, NY
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Senior Software Engineer, Front End
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Data Engineering, Architecture & Applied Data Science, III
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Presales Solution Engineer - Edge AI

All Cities, CO, United States
All Cities, IL, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

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 learned from customer engagements and feed those insights back into HP product, engineering, services, and practice development teams.

Sales & Business Development Support Partner with sales and technical account teams to identify, qualify, and advance Edge AI opportunities. Provide technical leadership during customer workshops, architecture sessions, executive briefings, demonstrations, RFP responses, and solution presentations. Develop solution bills of materials, architecture documentation, technical proposals, deployment assumptions, and supporting technical content. Help differentiate HP by demonstrating how HP's Edge AI and Advanced Compute capabilities can solve real customer problems and deliver measurable outcomes.

Required Qualifications · 3 years of experience in technical presales, forward deployment engineering, solution engineering or architecture, AI infrastructure, advanced compute, or a related discipline; strong experience in one or more of these areas. · Experience designing and deploying AI, Edge AI, computer vision, advanced compute, or accelerated computing solutions. · Hands-on knowledge of modern AI infrastructure including GPUs, CPUs, NPUs, accelerators, containers, networking, storage, and hybrid-cloud technologies. · Experience taking technical solutions from POC or pilot into production environments. · Ability to troubleshoot complex hardware, software, networking, application, and integration challenges. · Strong understanding of enterprise architecture, security, scalability, manageability, and production operational requirements. · Ability to translate business requirements into technical architectures and technical capabilities into business outcomes. · Strong customer-facing presentation, communication, and technical storytelling skills. · Ability to collaborate across sales, engineering, product management, services, partners, and customer organizations.

Preferred Qualifications · Experience with AI inference and Edge AI frameworks. · Experience with NVIDIA and other accelerated-compute ecosystems. · Knowledge of computer vision, video analytics, generative AI, and AI inference workloads. · Experience with Kubernetes, containers, Linux, APIs, and modern application architectures. · Experience working with ISVs and technology ecosystem partners. · Experience supporting enterprise customers across retail, manufacturing, industrial, healthcare, public sector, or other Edge AI-intensive industries. · Experience developing production reference architectures and repeatable solution patterns.

What Great Looks Like A successful Presales Solution Engineer does not stop when the demo works. They understand the customer's business challenge, architect the right solution, prove it works, set measurable success criteria, remove deployment barriers, and stay technically engaged until the solution runs successfully in production. Turn Edge AI possibilities into production outcomes.

Salary The on-target earnings (OTE) range for this role is $148,950.00 - $219,700.00 USD annually with a 80%/20% (salary/incentive) mix. There are additional opportunities for pay in the form of bonuses and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
4-12 weeks fully paid parental leave based on tenure
13 paid holidays
Additional flexible paid vacation and sick leave (US benefits overview [https://hpbenefits.ce.alight.com/]) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job - Sales Schedule - Full time Shift - No shift premium (United States of America) Travel - 50% Relocation - Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

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