AI Presales Leader, Solutions Architect

Job not on LinkedIn

🕒 September 11

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 23%

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Logo of ePlus Technology Solutions

ePlus Technology Solutions

51 - 200 employees

Founded 2015

🔌 API

🤖 Artificial Intelligence

☁️ SaaS

API • Artificial Intelligence • SaaS

ePlus Technology Solutions is a dynamic technology company based in Ho Chi Minh City, Vietnam, founded in 2015 by a group of passionate young Vietnamese entrepreneurs. The company specializes in providing international standard technology products and services, focusing on software solutions and online communications. ePlus aims to enhance modern lifestyles and demonstrates a commitment to leading changes in internet usage trends.

📋 Description

• Help set ePlus AI priorities and identify and rank internal AI use cases • Drive responsible AI use through guidance, education, and governance • Lead and coach AI-focused presales professionals while remaining hands-on in key customer work • Coordinate sales, delivery, business teams, architects, engineers, consultants, and technology partners • Advise customer executives, business leaders, and technical teams on AI • Turn business problems into AI recommendations, roadmaps, and solution options • Lead executive briefings, discovery workshops, and customer planning sessions • Qualify opportunities, shape solutions, and support complex sales pursuits • Connect customer needs with ePlus services and partner technologies • Represent ePlus at customer events, executive briefings, partner programs, webinars, and conferences • Create presentations, demonstrations, and content explaining complex AI topics • Take AI ideas through use-case definition, prototype, business case, and delivery plan • Build secure, practical solutions with cross-functional teams and partners • Lead discovery, shape architectures, support demonstrations and proofs of concept, and review design choices • Turn successful work into repeatable ePlus offerings, sales plays, reference architectures, and team resources • Review designs, proposals, Statements of Work, and project scopes • Build regional plans to grow the AI business and recommend technology investments • Maintain relationships with AI technology partners and vendors • Track AI pipeline, opportunity progress, win rates, and revenue • Improve presales processes, tools, training, and reporting • Stay current on AI technologies, cloud platforms, security, governance, and market trends • Complete approved training and maintain relevant certifications • Share technical knowledge and market insights with engineering and presales teams

🎯 Requirements

• Bachelor's degree or equivalent relevant work experience • 8+ years of experience in presales engineering, solutions architecture, consulting, or technical sales • 3+ years of experience leading, mentoring, or managing technical presales, engineering, or architecture teams • Demonstrated experience designing, positioning, or implementing AI, machine learning, data analytics, automation, cloud, or related technology solutions • Experience partnering with enterprise sales organizations to drive technical wins and revenue growth • Strong understanding of generative AI, large language models, AI infrastructure, data platforms, and AI governance concepts • Executive presence and ability to communicate complex technical and business concepts to customer executives, technical audiences, partners, and internal stakeholders • Demonstrated player-coach leadership and ability to influence across functions, mentor technical talent, and remain hands-on • Experience moving AI work from initial use case to prototype, business case, and broader rollout • Preferred: experience leading presales teams and developing AI solutions • Preferred: hands-on experience with Microsoft AI, Azure AI, Microsoft Copilot, OpenAI, NVIDIA, AWS, Google Cloud AI, or other leading AI platforms • Preferred: experience building AI business cases and implementation roadmaps • Preferred: relevant certifications in AI, cloud, architecture, or data technologies • Preferred: understanding of responsible AI, governance, security, and compliance

🏖️ Benefits

• Medical benefits • Financial benefits • 401(k) eligibility • Employee stock purchase program • Paid time off, including vacation, sick time, and personal leave • Continuous learning opportunities • Leadership development • Internal mobility • Supportive, collaborative culture • Reasonable accommodations for qualified individuals

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