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AI Software Solutions Architect Engineer
2 months ago
Job Description
AI Software Solutions Architect Engineer
Description -
We bring 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 our AI software offerings, becoming the technical subject matter assisting in all 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.
- 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 our 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
- 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 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
