Enterprise AI Solutions Engineer

2 weeks ago


Tampa, United States Zealogics Full time

 

 

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:

  • 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, Salesforce.com, 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.

Qualifications:

  • 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, Salesforce.com, 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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