AI Solution Engineer

Onsite at any of the following locations listed by preference:

1. Alpharetta, GA
2. Omaha, Nebraska
3. Frisco, TX
4. Berkeley Heights, NJ

What does a great AI Solution Engineer do?

As an AI Solution Engineer, you will be responsible for deploying AI-enabled applications and building relationships with clients. You will execute on commitments and deliver value by implementing cutting-edge technologies. Self-discipline and a strong desire to build applications with high integrity are essential for success in this role.

What you will do:

• Research upcoming technologies in the AI field
• Implement applications using best practices
• Monitor and troubleshoot applications
• Perform application scoring and data aggregation

Required:

• Strong Machine Learning (ML) expertise, with experience in AI-driven solutions.
• Hands-on experience with GPT, OpenAI s latest models, and cloud AI solutions.
• Experience with voice-related systems, IVR technologies, and telecom integrations.
• Python proficiency is a must
• Understanding of scaling AI/ML solutions in Azure.
• Strong problem-solving skills to tackle complex AI and cloud architecture challenges.
• Experience in both ML engineering and architecture, with an enterprise or DevOps background.
• Seasoned professional who can explain technology from start to finish and discuss structured solution approaches.
• Knowledge of end-to-end technology implementations, from planning to deployment.
• Telecom industry experience is preferred.

What you will need to have:

• Strong passion for software development and making the right decisions to improve applications
• Willingness to fail fast and learn from mistakes in the fast-paced technology market
• Proficiency in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#
• Experience with databases like SQL Server and MongoDB
• Knowledge of design and development tools like Visio and Whimsical
• Familiarity with DevOps tools like Jira, Confluence, and BitBucket
• Experience with AI/ML technologies such as NLP/NLU, IBM Watson, Azure Cognitive Services, AWS AI, and Google AI
• Previous experience delivering NLP solutions like IVR, Chat Bot, and Natural Language Classification
• 5-7+ years of technical implementation experience

What would be great to have:

• Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI
• Knowledge of content and knowledge repositories like Zoomin, Adobe Experience Manager, and SmartGuide