AI Architect
Join the All-Stars
Location - US
Full-Time
AI Architect
Experience :
5 + Years
Apply Today
rSTAR Technologies is seeking a dynamic and experienced Gen AI Architect to join our team. As a Gen AI Architect, you will play a pivotal role in driving the adoption of our Gen AI platform by understanding customer needs, architecting innovative AI solutions, and effectively communicating the value proposition to potential clients. You will work closely with the sales and product teams to develop tailored AI solutions that address specific business challenges and opportunities.
- Collaborate with the pre-sales team to understand customer requirements and develop compelling AI solutions that meet their needs.
- Conduct pre-sales presentations, demonstrations, and technical discussions to showcase the capabilities of our Gen AI platform and how it can address customer challenges.
- Architect end-to-end AI solutions that leverage machine learning, natural language processing, computer vision, and other AI technologies to solve complex business problems.
- Work closely with customers to understand their data landscape, infrastructure, and integration requirements, and provide guidance on best practices for AI implementation.
- Develop proof-of-concept prototypes and use cases to demonstrate the feasibility and value of AI solutions in real-world scenarios.
- Act as a trusted advisor to customers, providing expert guidance on AI strategy, roadmap, and implementation approach.
- Collaborate with the product team to provide feedback on product features, enhancements, and roadmap based on customer insights and market trends.
- Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- Proven experience (5+ years) in a pre-sales or solutions architect role, with a focus on artificial intelligence, machine learning, or data analytics.
- Deep understanding of AI technologies, including machine learning algorithms, natural language processing, computer vision, and deep learning frameworks.
- Hands-on experience with AI development tools and platforms such as Azure Open AI or Google AI or TensorFlow or PyTorch or scikit-learn, or AWS SageMaker.
- Strong problem-solving skills and the ability to architect complex AI solutions that address diverse business challenges.
- Excellent communication and presentation skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
- Strong customer-facing skills and the ability to build rapport and trust with customers.
- Self-motivated with a passion for technology and innovation.
Location - US
Full-Time
AI Architect
Experience :
5+ Years
Apply Today
rSTAR Technologies is seeking a dynamic and experienced Gen AI Architect to join our team. As a Gen AI Architect, you will play a pivotal role in driving the adoption of our Gen AI platform by understanding customer needs, architecting innovative AI solutions, and effectively communicating the value proposition to potential clients. You will work closely with the sales and product teams to develop tailored AI solutions that address specific business challenges and opportunities.
- Collaborate with the pre-sales team to understand customer requirements and develop compelling AI solutions that meet their needs.
- Conduct pre-sales presentations, demonstrations, and technical discussions to showcase the capabilities of our Gen AI platform and how it can address customer challenges.
- Architect end-to-end AI solutions that leverage machine learning, natural language processing, computer vision, and other AI technologies to solve complex business problems.
- Work closely with customers to understand their data landscape, infrastructure, and integration requirements, and provide guidance on best practices for AI implementation.
- Develop proof-of-concept prototypes and use cases to demonstrate the feasibility and value of AI solutions in real-world scenarios.
- Act as a trusted advisor to customers, providing expert guidance on AI strategy, roadmap, and implementation approach.
- Collaborate with the product team to provide feedback on product features, enhancements, and roadmap based on customer insights and market trends.
- Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- Proven experience (5+ years) in a pre-sales or solutions architect role, with a focus on artificial intelligence, machine learning, or data analytics.
- Deep understanding of AI technologies, including machine learning algorithms, natural language processing, computer vision, and deep learning frameworks.
- Hands-on experience with AI development tools and platforms such as Azure Open AI or Google AI or TensorFlow or PyTorch or scikit-learn, or AWS SageMaker.
- Strong problem-solving skills and the ability to architect complex AI solutions that address diverse business challenges.
- Excellent communication and presentation skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
- Strong customer-facing skills and the ability to build rapport and trust with customers.
- Self-motivated with a passion for technology and innovation.
rSTAR Technologies is committed to honesty, integrity, and transparency.
Recently, we received reports that someone is using our company name to run an employment scam. This scam includes fraudulent job offers and requests for money or personal information during the application process.
rSTAR Technologies only sends job offers from the official domain “rstartec.com.”
We never – under any circumstances – ask job seekers for money or for personal information during the recruiting process.
We have taken all necessary measures to mitigate and minimize these attempts. Any activity from a different domain name or requesting money from job seekers is not from rSTAR and is a fraud. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk.
rSTAR Technologies disclaims any liability in case of loss or damages from such fraudulent activities.
For more information on job seeker scams and how to spot them, visit.