AI Software Ecosystem - AI Solution Architect and Consultant
- Compensation
- Not disclosed
- Location
- Spring, Texas, United States of America
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Must have
- 10+ years of experience in the computer/technology industry, including roles in solutions architecture, software development, consulting, business development/sales engineering, product management, an
- Entrepreneurial mindset with the drive to continuously innovate and stay ahead of market demands.
- Hybrid AI software development expertise and PC hardware knowledge.
- Strong customer and partner communication skills, as well as the ability to influence CxO level as well as technical R&D teams.
- Exceptional customer centric skills, understanding of use cases.
- Technical visionary with proven track record in successfully architecting cutting-edge computing solutions that eventually come to market.
- Exceptional technical depth across PC hardware, HW components, AI models/applications, commercial and consumer software applications, operating systems, silicon platforms, collaboration systems, PC te
- Strong business acumen leveraging best practices with the ability to map technology capabilities to strategic business drivers.
- Provides subject matter expertise and consults to our ISVs and customers establishing HP as a leader, as well as consults to internal HP to support execution of Future of Work principles within HP.
- Builds relationships with other distinguished technologies, fellows, solution architects and futurists pan-HP.
- Excellent presentation and interpersonal skills to build credibility and distinction with external partners and customers, stakeholders and HP colleagues.
Full description
AI Software Ecosystem - AI Solution Architect and Consultant
Description -
The Commercial PC Business is a high-growth, fast-paced business with an innovation and customer-centered mindset delivering solutions for our enterprise, mid-market, and SMB customers. The AI Software Ecosystem team has responsibility for partnering with leading software application vendors as well as startups on AI use cases with the AI PC.
The AI Solutions Architect and Consultant is responsible for consulting with ISVs on technical implementation and ROI of leveraging local models on the device, as well as driving the technology vision for the AI Software Ecosystem team. In this pivotal role, you will leverage your deep technical and business expertise to advise on workloads and use cases best suited for hybrid AI or on-device AI across cloud and local (CPU, GPU, and NPU). Skills and knowledge in developer tools across silicon partners, full software stack, solutions architecting, business industry knowledge, and technical consulting is needed to influence and consult with software developers enabling growth of a brand new category for AI PCs.
Key Responsibilities
- Consult with third party software developers on technical considerations and developer tools to optimize their local models across silicon providers.
- Work closely with partners and internal R&D teams on technical differentiation opportunities, determining API and SDK requirements.
- Advise on workloads, models, and use cases collaborating with ISV and HP’s technical, product, and business development teams.
- Provide technical requirements and frameworks to the software development team.
- Define POC requirements and manage POC development team
- Develop content and whitepapers to establish HP leadership for ease of development.
- Stay abreast of evolving AI developer landscape and be established as a subject matter expert.
- Work with ecosystem partners and internal teams on short, medium, and long term differentiation roadmaps for the commercial business.
- Research and anticipate future technology trends and market needs through expert analysis of the computer industry landscape: hardware, software, services, applications, ecosystems, etc. with a vision 3, 5+ years out.
- Serve as a thought leader, delivering engaging presentations, primers and knowledge sharing to internal and external audiences.
Qualifications
- 10+ years of experience in the computer/technology industry, including roles in solutions architecture, software development, consulting, business development/sales engineering, product management, and management.