- Collaborate with clients to understand their business objectives and challenges, and identify opportunities for AI-driven solutions.
- Design and architect scalable AI solutions using a combination of proprietary and third-party platforms and tools, including OpenAI ChatGPT, Microsoft Azure, Google Gemini, IBM Watson, Oracle, etc.
- Develop custom integrations and configurations to seamlessly integrate AI solutions with existing enterprise systems such as Zoom, Remedy/ServiceNow, , Grafana, Workday, Conga Contract Intelligence, etc.
- Lead the model selection, training, and deployment process, ensuring that AI models are optimized for performance and accuracy.
- Manage domain-specific context and data to enhance the effectiveness of AI models and algorithms.
- Utilize development tools such as middleware platforms, robotic process automation (RPA) tools, Hugging Face, GitLab, etc., to build and deploy AI APIs and applications.
- Implement anomaly detection algorithms and techniques to identify and mitigate potential issues within AI-driven systems.
- Stay updated on the latest advancements in AI, machine learning, and related technologies, and proactively incorporate them into solution designs and implementations.
- Provide technical guidance and support to internal teams and clients throughout the project lifecycle.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Proven experience designing and implementing AI-driven solutions in an enterprise environment.
- Proficiency with AI technologies and platforms such as OpenAI ChatGPT, Microsoft Azure, Google Gemini, IBM Watson, Oracle, etc.
- Hands-on experience with enterprise systems integration, including Zoom, Remedy/ServiceNow, , Grafana, Workday, Conga Contract Intelligence, etc.
- Strong understanding of generative AI, machine learning, reasoning, and related concepts.
- Demonstrated expertise in model selection, training, and domain-specific context management.
- Experience with software development using middleware tools, RPA, Hugging Face, GitLab, etc.
- Familiarity with anomaly detection techniques and methodologies.
- Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and clients.
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Enterprise AI Solutions Engineer - Tampa, United States - Zealogics
Description
Job Description:
Overview: As an Enterprise AI Solutions Engineer, you will be responsible for designing, developing, and implementing AI-driven solutions tailored to meet the unique needs of our enterprise clients. Leveraging cutting-edge technologies such as OpenAI ChatGPT, Microsoft Azure, Google Gemini, IBM Watson, Oracle, and more, you will collaborate with cross-functional teams to deliver innovative solutions that drive business growth and efficiency.
Responsibilities:
Qualifications: