Position:

Sales Engineer - AI Solutions

Job Description:

Arrow is seeking a Sales Engineer – AI Solutions to provide technical direction and business guidance to our channel partner community in North America.  As a Sales Engineer, you will be accountable for partner enablement goals by driving innovative technical programs and overseeing day-to-day technical account-level activities. Your primary responsibilities will include building awareness, fostering education, and driving enthusiasm for AI within both internal and external stakeholders. You will act as a bridge between technical teams, business leaders, and the wider community, working to demystify AI, showcase its potential, and promote its ethical and responsible use. The ideal candidate will play a pivotal role in the design, development, and promotion of AI solutions that address complex business challenges with our partners.  A qualified candidate should have a strong analytical mind to connect with vendors, partners, and customers to solve real problems with Artificial Intelligence and Machine Learning solutions.

What You’ll Be Doing: 

Educational Outreach:

• Develop and deliver engaging presentations, workshops, and training programs to educate both technical and non-technical audiences about AI concepts, applications, and benefits.
• Collaborate with vendors, industry organizations, and community groups to promote AI literacy.
• Deliver executive-level conversations for customers and prospects to educate and inspire on the vision of AI.
• Deliver webinars and presentations at industry and customer conferences on a variety of AI-related topics.

Thought Leadership:

• Produce impactful, thought-leadership content, including blogs, articles, webinars, white papers, and presentations, to educate, inspire and articulate “the art of possible”, while effectively positioning Arrow Electronics as a channel leader.
• Stay abreast of the latest trends, advancements, and ethical considerations in AI.
• Research, develop and publish thought leadership content for broad audiences.

Community Building:

• Establish and nurture a community of AI enthusiasts, practitioners, and stakeholders.
• Organize and participate in meetups, conferences, webinars, and other events to connect with the AI community.

Collaboration:

• Work closely with sales teams to understand and communicate the value proposition of AI solutions.
• Collaborate with marketing and communication teams to develop and execute AI-focused campaigns.
• Support enablement, training, and upskilling initiatives of our customer-facing teams
• Gather feedback from the vendors, community, partners, and internal teams to provide insights for Arrow Solutions Lab use case improvement and development.

Technical Support:

• Provides technical leadership and direction to channel partners and sales staff with pre-sales activities in the assigned market on behalf Arrow’s AI Vendors, which include Nvidia, IBM Watson, Microsoft and ecosystem alliances
• Advocate for ethical and responsible AI practices, addressing concerns related to bias, transparency, and accountability.
• Promote awareness of AI's societal impact and facilitate discussions on responsible AI adoption.
• Obtain training and maintain knowledge of industry standards, new technologies and current issues.

Networking:

• Build and maintain relationships with influencers, researchers, and professionals in the AI field. 
• Connect the outside world and voice of the customer to vendor product development efforts. Provide customer and market feedback for product vision and feature design.
• Be an active and visible contributor to the Arrow AI Center of Excellence community.
• Obtain training and maintain knowledge of industry standards, new technologies and current issues.

What We Are Looking For: 

• Real-world AI/ML project end-to-end experiences, including design, build and validate successful AI/ML solutions.
• Demonstrates technical expertise on Artificial Intelligence, Data Science, and Machine Learning
• Proficiency in Python (must), MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, IBM Cloud, or other platforms and programming languages.
• Proficiency in common AI/ML frameworks, etc., Scikit-learn, Tensorflow, Pytorch, Hugging Face.
• Knowledge and experience with application of a variety of machine learning techniques (clustering, decision tree, neural network, etc.).
• AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
• Excellent written and verbal communication skills for coordinating across teams and with stakeholders