What are the responsibilities and job description for the AI Solution Engineer position at Proviniti?
Onsite at any of the following locations:
- Alpharetta, GA
- Omaha, Nebraska
- Frisco, TX
- 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
Salary : $85 - $110
