
Solutions Engineer - AI Practitioner / Regional Field CTO
Salary undisclosed
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- You’re motivated by the fast-paced landscape in IT and how AI is changing the world.
- Prototype models and workflows to demonstrate value.
- Work with sales teams to understand customer needs and tailor AI solutions
- Translate business problems into technical approaches using AI models, data pipelines, and APIs.
- You are outstanding presenter and can translate complex technical scenarios into a simple east to understand message.
- You encourage those around to use technology in innovative ways and use a hands-on method to demonstrate your ideas..
- 10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).
- Good understanding of programming/scripting languages
- Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.
- Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.
- Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics.
- Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.
- You’re motivated by the fast-paced landscape in IT and how AI is changing the world.
- Prototype models and workflows to demonstrate value.
- Work with sales teams to understand customer needs and tailor AI solutions
- Translate business problems into technical approaches using AI models, data pipelines, and APIs.
- You are outstanding presenter and can translate complex technical scenarios into a simple east to understand message.
- You encourage those around to use technology in innovative ways and use a hands-on method to demonstrate your ideas..
- 10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).
- Good understanding of programming/scripting languages
- Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.
- Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.
- Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics.
- Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.