client: chs
location: remote
duration: 1 year+
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.
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