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AI Solutions Architect: IV

4 months ago

Atlanta, United States Apptad Inc Full time
Job DescriptionJob DescriptionJob Title: Apptad - AI Solutions Architect: IV
Job Location: Fully Remote (CST 9am to 5pm)
Job Duration: Long-TermJob Description
  • We are looking for an AI Solutions Architect skilled in generative AI and traditional data science.
  • The successful candidate will design, implement, and manage AI solutions, ensuring alignment with business goals.
Must Have's
  • Automations as well as AI experience
  • Consumer AI Tools (Chat GBT, M365 CoPilot, Custom Co-pilots)
  • Degenerative AI someone that has the experience who could teach on or speak on...would be valuable to him.
  • We have a dedicated AI system so they will be helping apply the right track for the solution
  • Analyst and build proof of concepts
  • Has experience outside the AI (education or pervious roles) in Data Science
  • Meet with pp one-on-one presentations on the topic of A1 Great communication skills
Responsibilities:
  • Architect and deploy solutions using open-source and commercial generative AI models
  • Apply data science techniques to business use cases:
  • General Machine Learning and Analytics: Develop predictive models and data-driven solutions to solve business challenges using advanced machine learning techniques and statistical analysis.
  • Computer Vision and Natural Language Processing (NLP): Create and integrate systems for analyzing visual data and understanding human language, facilitating automated and enhanced user interactions.
  • Design scalable AI solutions on platforms like DataIku.
  • Serve as an AI evangelist, delivering presentations to stakeholders and participating in industry conferences.
  • Translate complex business issues into innovative AI-driven solutions.
  • Experience with integrated generative AI assistants like M365 Copilots, SAP Joule, Amazon Q, and their code-specific counterparts.
  • Expertise in cloud services such as AWS and Azure is highly preferred for deploying scalable AI applications.
Required Qualifications:
  • Proven track record in AI solution architecture with a strong portfolio.
  • Expertise in AI technologies and familiarity with platforms like DataIku, AWS, Google Cloud, Azure.
  • Strong foundation in machine learning, data science, and big data technologies.
  • Excellent communication, project management, and leadership skills.
  • Continual learning mindset with relevant certifications (e.g., Azure AI Engineer, AWS Machine Learning) preferred.
Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • Experience in cloud services and infrastructure, particularly for AI applications.
  • Relevant certifications in AI technologies and platforms.
  • Experience with TOGAF architecture framework