AI Software Solutions Architect
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value due to the potential salary range and the opportunity to work with cutting-edge AI solutions, although it requires a broad skill set.
- Engage in innovative AI solutions at HP France
- Competitive salary for experienced candidates
- Opportunities for client-facing engagements and collaboration
- Extensive skill requirements may deter some applicants
Pros
- Competitive salary range indicates strong market position
- Opportunity to develop AI solutions and technology handlers
- Engagement in a collaborative and innovative environment
Cons
- Wide range of expected skills could narrow applicant pool
- Frequent client interactions may not be suitable for all
- Traveling required may limit some candidates
Who it's for
Mid to Senior • Hybrid likely with client-facing duties
Good fit
- Mid-to-senior solution engineers experienced in AI
- Professionals eager to drive AI adoption in clients
- Candidates comfortable with both tech and client interactions
Not recommended for
- Entry-level candidates without relevant skills
- Individuals preferring isolated roles
- Job seekers reluctant to travel for client engagements
Motivation fit
Key skills
About the job
• Design and implement AI proof of concepts to showcase the capabilities and potential impact on solving customer challenges
• White glove onboarding for customers into proof of concept and into production phases with in their AI/ML workflow
• 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
• Work with partners and customers to understand their technical needs and find enablement opportunities to expand adoption and utilization of ACS AI solutions
• 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
• Build and maintain strong relationships with clients, understanding their business needs, and providing tailored solutions
Requirements
- 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
- BS/MS in Computer Science, Data Science, Engineering fields or equivalent experience
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- AI
- machine learning
- data science
- Python
- C++
- DevOps
- enterprise data science projects
- AI frameworks
- hybrid cloud environments
- technical documentation
Soft Skills
- presentation skills
- communication skills
- collaborative work
- relationship building
- customer onboarding
- technical support
- training delivery
- value proposition development
- problem-solving
- adaptability
Certifications & Qualifications
- BS in Computer Science
- MS in Computer Science
- BS in Data Science
- MS in Data Science
- BS in Engineering
- MS in Engineering
