AI Solution Architect EU - Defence
The posting
AI Solution Architect EU - Defence
Description -
Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe.
HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.
Role Overview
We are in search of a dynamic and results-driven AI Software Presales Solutions Architect Engineer to join our forward-thinking team. In this role, you will be at the forefront of promoting and selling our cutting-edge AI software solutions. The ideal candidate will possess a deep understanding of artificial intelligence technologies/frameworks, excellent communication skills, and the ability to align technical capabilities with business objectives. As an AI Software Presales Solutions Architect Engineer, you will collaborate closely with our business development team to drive the adoption of our AI solutions and contribute to the growth of our customer base. The ideal candidate will exhibit robust technical proficiency in AI tools and workflows, possess a blend of tactical and strategic customer presales approaches and excel as an effective communicator.
Key responsibilities for this role include
- Develop a comprehensive understanding of HP AI software offerings, becoming the technical subject matter assisting in all pre-sales activities.
- Develop industry knowledge pertaining to the defense space, focusing on integration of HP solutions into a highly secure and regulated environment
- Translate complex AI concepts into clear and compelling value propositions for customers.
- Work closely with the business development team to understand customer needs and provide pre-sales technical support.
- Collaborate with the business development team to create customized AI solution engagements for clients.
- Work with partners and customers to understand their technical needs and find enablement opportunities to expand adoption and utilization of ACS AI solutions.
- Assist customers in understanding the strategic impact of integrating AI/ML into their workflows.
- Design and implement AI proof of concepts to showcase the capabilities and potential impact on solving customer challenges.
- Develop and deliver training sessions on AI software solutions for customers, internal teams, and partners.
- Create technical documentation and best practices guides to support the sales process and customer onboarding. This includes partnering with the sales and marketing teams to develop compelling customer sales assets.
- Work closely with experience managers, engineers, and product teams to translate requirements for an end-to-end workflow.
- Work with partners and customers to understand their technical needs and find enablement opportunities to expand adoption and utilization of HP AI solutions.
- Conduct in-dept product demonstrations, customized workflow examples, and technical presentations
- Build and maintain strong relationships with clients, understanding their business needs, and providing tailored solutions.
Experience knowledge & skills
- 5+ years of Solution Engineering and software experience.
- Proven experience in a similar role, preferably in AI software sales or solutions engineering.
- In-depth knowledge of AI, machine learning, and data science concepts.
- Strong presentation and communication skills, with the ability to convey technical concepts to diverse audiences.
- Strong proficiency with AI frameworks, tools, and platforms.
- Familiarity with sales processes and tools
- Proficiency in either Python or C++, with experience in both languages.
- Proven track record of developing enterprise data science projects
- DevOps and experience in developing software in hybrid cloud environments (Cloud, hybrid and on-prem).
- Demonstrated track record of achieving presales KPI’s including opportunity conversion
- Ability to work collaboratively in a fast-paced, dynamic environment.
- Willingness to travel as needed to meet with client and attend industry events.
Education
- BS/MS in Computer Science, Data Science, Engineering fields or equivalent experience
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United Kingdom)
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 "
Taken from HP Inc's own posting, last seen live on 31 Oct 2026.
About HP Inc
Laptops, desktops and workstations, printers with managed print services and supplies, and Poly collaboration devices, sold to businesses and the public sector directly and through resellers.
Pay schedule: HP payroll with quota sellers paid on a salary-to-incentive split printed in each posting (60/40 on most account roles, 70/30 or 80/20 on presales, partner and business development roles), plus possible bonus or equity in the US.
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