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AI Solutions Architect: IV
3 weeks ago
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.
- 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
- 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.
- 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.
- 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
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