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AI Software Solutions Architect
2 months ago
We are a global technology leader that brings together a diverse portfolio of printing, personal computing, software, and services to serve over 1 billion customers in more than 170 countries.
We are committed to fostering a culture of inclusivity and diversity, attracting exceptional talent, and supporting our employees to succeed at all levels.
We dream in over 35 languages and share one mission: to engineer experiences that amaze.
About the RoleWe are seeking 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, collaborating closely with our business development team to drive adoption and contribute to customer growth.
Key Responsibilities- Develop a comprehensive understanding of our AI software offerings and provide technical subject matter expertise in pre-sales activities.
- 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.
- Assist customers in understanding the strategic impact of integrating AI/ML into their workflows.
- Design and implement AI proof of concepts to showcase capabilities and potential impact on solving customer challenges.
- Develop and deliver training sessions on AI software solutions for customers, internal teams, and partners.
- Typically 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 proficiency with AI frameworks, tools, and platforms.
- 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).
- Willingness to travel as needed to meet with clients and attend industry events.
BS/MS in Computer Science, Data Science, Engineering fields or equivalent experience.
