What are the responsibilities and job description for the AI Solution Engineer position at HCM Staffing and Consulting?
Job Details
Onsite at any of the following locations listed by preference:
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
