Senior Solutions Architect

Job Summary

AI Solutions Architect, APAC

As an AI Solutions Architect for the APAC Geo at NetApp, you will work closely with Sales Specialists, Partner Managers, Technical Leaders and Sales Teams to drive sales execution and business growth for AI solutions and technologies.

Your passion for technology, strategic thinking, and expertise in Artificial Intelligence will be essential to success. You already have an in-depth understanding of AI market trends, key industry best practices, and the technology landscape.

Using your background and experience, you will work with your peers and leadership to develop and execute a strategy to evangelise NetApp, train and enable field sellers, work closely with Go-To-Market partners and participate, where required, in direct sales campaigns.

A technical background in infrastructure, database technologies and software coding, is essential.

Job Requirements

The AI Solutions Architect is a domain expert; the role holder will work closely with cross-functional team members to achieve revenue and growth targets for the APJ&I Geo.

Typical responsibilities include:

Collaborate with Technical, Sales, Partner and Marketing teams to evangelise AI solutions and technologies.

Act as the go-to person for all technical and AI, ML, Data Analytics and HPC workloads

Work closely with WW leadership to ensure that AI sales plays are adjusted and aligned to local market needs

Act as a key liaison between sales teams and global headquarters, providing insights and feedback to help refine corporate strategies

Where required, participate in direct sales opportunities including qualification of requirements, solutions design, proof-of-concept testing, and competitive analysis

Define & guide technical teams regarding technical/solution design

Collaborate with Partner and Alliance teams to drive end-to-end solution designs for our customers and prospects

In-depth knowledge of Artificial Intelligence concepts including server/storage architecture, batch/stream processing, data warehousing, data lakes, distributed filesystems, OLTP/OLAP databases and data pipelining tools

Key Qualifications

Demonstrated enthusiasm for technology and ability to stay current with industry trends

Excellent verbal and written communication skills, with the ability to articulate complex technical concepts.

Strong team player, strategic thinker, excellent business acumen and creating problem solver

Education & Experience

Tertiary degree in Electrical Engineering, Computer Science, or other relevant technical field or equivalent work experience esp. with data engineering (analytics, ML & AI)

Certifications or equivalent to demonstrate AI skills, for example, NVIDIA, Google, Azure, scripting eg. Pyton

Experience in presenting, evangelising, and influencing customer and partner audiences

Experience in cross-functional collaboration

8+ years in a technical Pre-Sale role